TrainingFacenetAugmentation.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "TrainingFacenetRemontada (1).ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/BlaiseMarvin/FaceRecognitionPaymentSystem/blob/main/TrainingFacenetAugmentation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8kc6LRT3n1zs"
      },
      "source": [
        "## RE-TRAINING THE FACENET MODEL USING BLACK-FACES"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mA_LhHNC9rpz",
        "outputId": "d45a7ed5-5756-4919-d4fa-ef87f165b49f"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4kGn24yZZfd7"
      },
      "source": [
        "## The Arcface loss class"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FGXqL3j-7t_O"
      },
      "source": [
        "import math as m\n",
        "\n",
        "import numpy as np\n",
        "from tqdm import tqdm\n",
        "import math\n",
        "import os\n",
        "\n",
        "import tensorflow as tf\n",
        "\n",
        "import tensorflow.keras\n",
        "from tensorflow.keras.models import *\n",
        "from tensorflow.keras.models import load_model\n",
        "from tensorflow.keras.layers import *\n",
        "from tensorflow.keras.layers import Dense, Flatten, Dropout, Input\n",
        "from tensorflow.keras.optimizers import Adam, RMSprop\n",
        "from tensorflow.keras.metrics import categorical_crossentropy\n",
        "from tensorflow.keras.preprocessing import image\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "from tensorflow.keras.layers import BatchNormalization\n",
        "from tensorflow.keras.layers import Conv2D\n",
        "from tensorflow.keras.layers import Layer\n",
        "from tensorflow.keras.applications.densenet import DenseNet121\n",
        "from tensorflow.keras.callbacks import *\n",
        "from tensorflow.keras import backend as K\n",
        "from tensorflow.keras import regularizers\n",
        "from tensorflow.keras.metrics import categorical_accuracy\n",
        "from tensorflow.keras import layers\n",
        "from tensorflow.keras import Model \n",
        "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n",
        "from tensorflow.keras.callbacks import ReduceLROnPlateau\n",
        "\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import plot_confusion_matrix\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_7G46HMXZeuF"
      },
      "source": [
        "# Original paper: https://arxiv.org/pdf/1801.07698.pdf\n",
        "# Original implementation: https://github.com/deepinsight/insightface\n",
        "# Adapted from tensorflow implementation: https://github.com/luckycallor/InsightFace-tensorflow\n",
        "\n",
        "\n",
        "\n",
        "class ArcFace(Layer):\n",
        "    '''Custom Keras layer implementing ArcFace including:\n",
        "    1. Generation of embeddings\n",
        "    2. Loss function\n",
        "    3. Accuracy function\n",
        "    '''\n",
        "\n",
        "    def __init__(self, output_dim, class_num, margin=0.5, scale=64., **kwargs):\n",
        "        self.output_dim = output_dim\n",
        "        self.class_num = class_num\n",
        "        self.margin = margin\n",
        "        self.s = scale\n",
        "\n",
        "        self.cos_m = tf.math.cos(margin)\n",
        "        self.sin_m = tf.math.sin(margin)\n",
        "        self.mm = self.sin_m * margin\n",
        "        self.threshold = tf.math.cos(tf.constant(m.pi) - margin)\n",
        "        super(ArcFace, self).__init__(**kwargs)\n",
        "\n",
        "\n",
        "    def build(self, input_shape):\n",
        "        # Create a trainable weight variable for this layer.\n",
        "        self.kernel = self.add_weight(name='kernel', \n",
        "                                      shape=(input_shape[1], self.class_num),\n",
        "                                      initializer='glorot_normal',\n",
        "                                      trainable=True)\n",
        "        super(ArcFace, self).build(input_shape)  # Be sure to call this at the end\n",
        "\n",
        "\n",
        "    def call(self, x):\n",
        "        embeddings = tf.nn.l2_normalize(x, axis=1, name='normed_embeddings')\n",
        "        weights = tf.nn.l2_normalize(self.kernel, axis=0, name='normed_weights')\n",
        "        cos_t = tf.matmul(embeddings, weights, name='cos_t')\n",
        "        return cos_t\n",
        "\n",
        "\n",
        "    def get_logits(self, labels, y_pred):\n",
        "        cos_t = y_pred\n",
        "        cos_t2 = tf.square(cos_t, name='cos_2')\n",
        "        sin_t2 = tf.subtract(1., cos_t2, name='sin_2')\n",
        "        sin_t = tf.sqrt(sin_t2, name='sin_t')\n",
        "        cos_mt = self.s * tf.subtract(tf.multiply(cos_t, self.cos_m), tf.multiply(sin_t, self.sin_m), name='cos_mt')\n",
        "        cond_v = cos_t - self.threshold\n",
        "        cond = tf.cast(tf.nn.relu(cond_v, name='if_else'), dtype=tf.bool)\n",
        "        keep_val = self.s*(cos_t - self.mm)\n",
        "        cos_mt_temp = tf.where(cond, cos_mt, keep_val)\n",
        "        mask = tf.one_hot(labels, depth=self.class_num, name='one_hot_mask')\n",
        "        inv_mask = tf.subtract(1., mask, name='inverse_mask')\n",
        "        s_cos_t = tf.multiply(self.s, cos_t, name='scalar_cos_t')\n",
        "        output = tf.add(tf.multiply(s_cos_t, inv_mask), tf.multiply(cos_mt_temp, mask), name='arcface_logits')\n",
        "        return output\n",
        "\n",
        "\n",
        "    def loss(self, y_true, y_pred):\n",
        "        labels = K.argmax(y_true, axis=-1)\n",
        "        logits = self.get_logits(labels, y_pred)\n",
        "        loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)\n",
        "        return loss\n",
        "\n",
        "\n",
        "    def accuracy(self, y_true, y_pred):\n",
        "        labels = K.argmax(y_true, axis=-1)\n",
        "        logits = self.get_logits(labels, y_pred)\n",
        "        accuracy = categorical_accuracy(y_true=labels, y_pred=logits)\n",
        "        return accuracy\n",
        "    \n",
        "\n",
        "    def compute_output_shape(self, input_shape):\n",
        "        return (input_shape[0], self.output_dim)\n",
        "\n"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wPpKDHgpzMWU",
        "outputId": "f4e5d589-d73c-4c9f-ac51-a3a036403a71"
      },
      "source": [
        "import os\n",
        "from os import listdir\n",
        "\n",
        "path=\"/content/drive/MyDrive/Dataset/Training/\"\n",
        "count=0\n",
        "for f in listdir(path):\n",
        "  count=0\n",
        "  for nome in listdir(path+f):\n",
        "    count+=1\n",
        "  print(\"Name: \",f,\"count: \",count)\n",
        "\n",
        "\n"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Name:  Ruth count:  20\n",
            "Name:  Sandra count:  39\n",
            "Name:  Samson count:  68\n",
            "Name:  Vanny count:  38\n",
            "Name:  Pesh count:  58\n",
            "Name:  Menk count:  56\n",
            "Name:  Nabata count:  48\n",
            "Name:  Mcvex count:  50\n",
            "Name:  Raymond count:  21\n",
            "Name:  Nduhukire count:  54\n",
            "Name:  Renal count:  26\n",
            "Name:  Remuneration count:  71\n",
            "Name:  Martha count:  43\n",
            "Name:  Marcus count:  45\n",
            "Name:  Lucky count:  57\n",
            "Name:  Katamba count:  40\n",
            "Name:  Kansiime count:  37\n",
            "Name:  Kanyomozi count:  79\n",
            "Name:  Kabareebe count:  53\n",
            "Name:  Lynda count:  54\n",
            "Name:  KenMugabi count:  59\n",
            "Name:  Malaika count:  57\n",
            "Name:  Katatumba count:  62\n",
            "Name:  Kabuura count:  23\n",
            "Name:  Gaetanok count:  42\n",
            "Name:  Dorothy count:  26\n",
            "Name:  Jazmine count:  56\n",
            "Name:  Farid count:  73\n",
            "Name:  Desire count:  73\n",
            "Name:  Judithiana count:  50\n",
            "Name:  GNL count:  30\n",
            "Name:  Julian count:  67\n",
            "Name:  Diana count:  62\n",
            "Name:  Gamzi count:  30\n",
            "Name:  Apass count:  31\n",
            "Name:  Aloyo count:  49\n",
            "Name:  Becky count:  39\n",
            "Name:  Cindy count:  52\n",
            "Name:  Brian count:  39\n",
            "Name:  Daniel count:  77\n",
            "Name:  Canary count:  39\n",
            "Name:  Cleopatra count:  39\n",
            "Name:  Barbie count:  25\n",
            "Name:  Babygloria count:  53\n",
            "Name:  Alex count:  35\n",
            "Name:  Abenaki count:  51\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K4HiJlgE0JUU",
        "outputId": "03848bda-dc01-494e-f263-3437b553f51d"
      },
      "source": [
        "import os\n",
        "from os import listdir\n",
        "\n",
        "path=\"/content/drive/MyDrive/Dataset/Validation/\"\n",
        "count=0\n",
        "for f in listdir(path):\n",
        "  count=0\n",
        "  for nome in listdir(path+f):\n",
        "    count+=1\n",
        "  print(\"Name: \",f,\"count: \",count)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Name:  Pesh count:  13\n",
            "Name:  Nabata count:  22\n",
            "Name:  Nduhukire count:  8\n",
            "Name:  Vanny count:  14\n",
            "Name:  Ruth count:  9\n",
            "Name:  Renal count:  8\n",
            "Name:  Samson count:  22\n",
            "Name:  Raymond count:  6\n",
            "Name:  Sandra count:  10\n",
            "Name:  Remuneration count:  21\n",
            "Name:  Katatumba count:  20\n",
            "Name:  Malaika count:  11\n",
            "Name:  Martha count:  9\n",
            "Name:  Marcus count:  9\n",
            "Name:  Katamba count:  10\n",
            "Name:  Mcvex count:  8\n",
            "Name:  Menk count:  10\n",
            "Name:  Lucky count:  16\n",
            "Name:  Lynda count:  11\n",
            "Name:  KenMugabi count:  14\n",
            "Name:  Gaetanok count:  6\n",
            "Name:  Julian count:  14\n",
            "Name:  Jazmine count:  9\n",
            "Name:  Judithiana count:  12\n",
            "Name:  GNL count:  7\n",
            "Name:  Kanyomozi count:  12\n",
            "Name:  Kabareebe count:  10\n",
            "Name:  Gamzi count:  9\n",
            "Name:  Kabuura count:  8\n",
            "Name:  Kansiime count:  7\n",
            "Name:  Cleopatra count:  10\n",
            "Name:  Canary count:  17\n",
            "Name:  Cindy count:  17\n",
            "Name:  Diana count:  11\n",
            "Name:  Desire count:  21\n",
            "Name:  Farid count:  17\n",
            "Name:  Daniel count:  17\n",
            "Name:  Dorothy count:  3\n",
            "Name:  Becky count:  10\n",
            "Name:  Brian count:  7\n",
            "Name:  Aloyo count:  12\n",
            "Name:  Abenaki count:  10\n",
            "Name:  Alex count:  6\n",
            "Name:  Babygloria count:  10\n",
            "Name:  Barbie count:  4\n",
            "Name:  Apass count:  9\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Min14FmgoLZ7"
      },
      "source": [
        "#### Setting up the Image Data Generator API"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_oP9GPv9eyP_",
        "outputId": "69c0c981-ae94-4c0d-9c3d-940046f6c559"
      },
      "source": [
        "#Import shutil first, this package deletes ipnb_checkpoints files that create a ghost class\n",
        "import shutil\n",
        "#The next step is to delete every ipynb_checkpoints file created by colab\n",
        "#shutil.rmtree(\"/tmp/training/.ipynb_checkpoints\") #be careful with shutil.rmtree() because it deletes every tree in that path. In other words, do not make mistakes.\n",
        "#shutil.rmtree(\"/tmp/testing/.ipynb_checkpoints\")\n",
        "\n",
        "#specify both the training and validation directories\n",
        "TRAINING_DIR=\"/content/drive/MyDrive/Dataset/Training/\"\n",
        "VALIDATION_DIR=\"/content/drive/MyDrive/Dataset/Validation/\"\n",
        "\n",
        "#Initialize Image Data Generator objects, and rescale the image \n",
        "training_datagen=ImageDataGenerator(rescale=1/255,\n",
        "                                    rotation_range =15, \n",
        "                                    #fill_mode = 'nearest', \n",
        "                                    #data_format='channels_last', \n",
        "                                    brightness_range=[0.5, 1.5])\n",
        "                                    #)\n",
        "validation_datagen=ImageDataGenerator(rescale=1/255)\n",
        "                                      #rotation_range =15, \n",
        "                                      #fill_mode = 'nearest', \n",
        "                                      #data_format='channels_last', \n",
        "                                      #brightness_range=[0.5, 1.5]\n",
        "                                      #)\n",
        "\n",
        "#Create the image generators that create the create the classes for all images uploaded\n",
        "training_generator=training_datagen.flow_from_directory(TRAINING_DIR,\n",
        "                                                        class_mode='categorical',\n",
        "                                                        target_size=(160,160), \n",
        "                                                        shuffle=False)\n",
        "                                                        #save_to_dir ='/content/drive/MyDrive/Dataset/Augmented',\n",
        "                                                        #save_prefix = \"a\",\n",
        "                                                        #save_format = \"png\")\n",
        "validation_generator=validation_datagen.flow_from_directory(VALIDATION_DIR,\n",
        "                                                            class_mode='categorical',\n",
        "                                                            target_size=(160,160), \n",
        "                                                            shuffle=False, \n",
        "                                                            batch_size=1)#,\n",
        "                                                            #save_to_dir ='/content/drive/MyDrive/Extracted/Augmented',\n",
        "                                                            #save_prefix = \"a\",\n",
        "                                                            #save_format = \"png\"\n",
        "                                                          #)\n",
        "\n",
        "#Load the facenet model architecture\n",
        "#model=load_model('/tmp/facenet/facenet_keras.h5')\n"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 2196 images belonging to 46 classes.\n",
            "Found 526 images belonging to 46 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xni0h7FSQ7oq"
      },
      "source": [
        "## Loading the facenet Model architecture"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IAs1PSgVLNP0",
        "outputId": "536bcecb-7f71-404a-cd06-3b4365c36214"
      },
      "source": [
        "model=load_model('/content/drive/MyDrive/facenet_keras (1).hdf5')\n",
        "#A summary of the model architecture\n",
        "model.summary()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.\n",
            "Model: \"inception_resnet_v1\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
            "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
            "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
            "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
            "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
            "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
            "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
            "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
            "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
            "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
            "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
            "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
            "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
            "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
            "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
            "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
            "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
            "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
            "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
            "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
            "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
            "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
            "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck_BatchNorm (BatchNorm (None, 128)          384         Bottleneck[0][0]                 \n",
            "==================================================================================================\n",
            "Total params: 22,808,144\n",
            "Trainable params: 22,779,312\n",
            "Non-trainable params: 28,832\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rH7-R2Iz6LQy",
        "outputId": "6fd9f680-1bf0-4f0b-e353-4005e6750af5"
      },
      "source": [
        "print(\"Number of layers in the base model: \", len(model.layers))"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Number of layers in the base model:  426\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HWNkmU4SEBEm"
      },
      "source": [
        "local_weights_file='/content/drive/MyDrive/weightss/facenet_keras_weights.hdf5'\n",
        "model.load_weights(local_weights_file)\n",
        "\n",
        "for layer in model.layers:\n",
        "  layer.trainable=False"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yjnsrv9Vhpau"
      },
      "source": [
        "#Specify the last layer from the architecture, that you actually want\n",
        "last_layer=model.get_layer('Bottleneck')\n",
        "last_output=last_layer.output"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SyOcetAV_xoP",
        "outputId": "10d6e327-2205-44b2-983f-ed406aa2a76d"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"inception_resnet_v1\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
            "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
            "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
            "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
            "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
            "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
            "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
            "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
            "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
            "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
            "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
            "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
            "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
            "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
            "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
            "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
            "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
            "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
            "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
            "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
            "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
            "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
            "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck_BatchNorm (BatchNorm (None, 128)          384         Bottleneck[0][0]                 \n",
            "==================================================================================================\n",
            "Total params: 22,808,144\n",
            "Trainable params: 0\n",
            "Non-trainable params: 22,808,144\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DsLz0iSIXc72"
      },
      "source": [
        "early = EarlyStopping(monitor=\"val_loss\", mode=\"min\", patience=20)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bT1x-KfSYE79"
      },
      "source": [
        "reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1,\n",
        "                              patience=2, min_lr=0.00001)"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aa8_CBfl_Ylz"
      },
      "source": [
        "checkpoint_filepath= '/content/drive/MyDrive/Dataset/Model'\n",
        "model_checkpoint_callback=tf.keras.callbacks.ModelCheckpoint(\n",
        "    filepath=checkpoint_filepath,\n",
        "    save_weights_only=True,\n",
        "    monitor='val_loss',\n",
        "    mode='min',\n",
        "    save_best_only=True)"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NSQETUqLmN1n"
      },
      "source": [
        "#Code from arcface repo\n",
        "\n",
        "#customizable arcface layer\n",
        "af_layer = ArcFace(output_dim=128, class_num=128, margin=0.5, scale=64.)\n",
        "\n",
        "arcface_output = af_layer(last_output)\n",
        "x=layers.Flatten()(arcface_output)\n",
        "#print(arcface_output)\n",
        "x = Dropout(rate=0.3)(x)\n",
        "\n",
        "x=layers.Dense(1024,activation='relu')(arcface_output)\n",
        "\n",
        "x=layers.Dense(512,activation='relu')(x)\n",
        "x = Dropout(rate=0.5)(x)\n",
        "x=layers.Dense(128,activation='relu')(x)\n",
        "x=layers.Dense(46,activation='softmax')(arcface_output)\n",
        "\n",
        "model=Model(model.input,x)\n",
        "model.compile(optimizer=RMSprop(learning_rate=0.0001),loss='categorical_crossentropy',metrics=['accuracy',tf.keras.metrics.AUC(multi_label = True), tf.keras.metrics.Recall(),tf.keras.metrics.Precision()])"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qje4VW0jl8d5",
        "outputId": "5a91b06e-dc5b-403f-dcb0-df4117f32387"
      },
      "source": [
        "#training for 500 epochs\n",
        "history=model.fit(training_generator,validation_data=validation_generator,epochs=500,verbose=2, callbacks=[reduce_lr,early,model_checkpoint_callback])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/500\n",
            "69/69 - 1146s - loss: 3.8405 - accuracy: 0.0132 - auc: 0.4741 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.8277 - val_accuracy: 0.0114 - val_auc: 0.5111 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 2/500\n",
            "69/69 - 27s - loss: 3.8204 - accuracy: 0.0282 - auc: 0.5200 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.8090 - val_accuracy: 0.0209 - val_auc: 0.5456 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 3/500\n",
            "69/69 - 27s - loss: 3.8007 - accuracy: 0.0369 - auc: 0.5595 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7909 - val_accuracy: 0.0361 - val_auc: 0.5773 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 4/500\n",
            "69/69 - 27s - loss: 3.7837 - accuracy: 0.0546 - auc: 0.5887 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7730 - val_accuracy: 0.0532 - val_auc: 0.5977 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 5/500\n",
            "69/69 - 27s - loss: 3.7649 - accuracy: 0.0683 - auc: 0.6135 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7552 - val_accuracy: 0.0646 - val_auc: 0.6326 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 6/500\n",
            "69/69 - 27s - loss: 3.7463 - accuracy: 0.0915 - auc: 0.6426 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7374 - val_accuracy: 0.1065 - val_auc: 0.6590 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 7/500\n",
            "69/69 - 27s - loss: 3.7298 - accuracy: 0.1116 - auc: 0.6709 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7201 - val_accuracy: 0.1369 - val_auc: 0.6751 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 8/500\n",
            "69/69 - 27s - loss: 3.7122 - accuracy: 0.1403 - auc: 0.6935 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7024 - val_accuracy: 0.1730 - val_auc: 0.7011 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 9/500\n",
            "69/69 - 27s - loss: 3.6918 - accuracy: 0.1658 - auc: 0.7265 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6841 - val_accuracy: 0.1939 - val_auc: 0.7296 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 10/500\n",
            "69/69 - 27s - loss: 3.6771 - accuracy: 0.1771 - auc: 0.7407 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6668 - val_accuracy: 0.2129 - val_auc: 0.7531 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 11/500\n",
            "69/69 - 27s - loss: 3.6584 - accuracy: 0.2081 - auc: 0.7617 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6490 - val_accuracy: 0.2319 - val_auc: 0.7697 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 12/500\n",
            "69/69 - 27s - loss: 3.6390 - accuracy: 0.2113 - auc: 0.7887 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6313 - val_accuracy: 0.2510 - val_auc: 0.7831 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 13/500\n",
            "69/69 - 26s - loss: 3.6223 - accuracy: 0.2286 - auc: 0.8006 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6134 - val_accuracy: 0.2567 - val_auc: 0.7988 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 14/500\n",
            "69/69 - 27s - loss: 3.6052 - accuracy: 0.2495 - auc: 0.8117 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5962 - val_accuracy: 0.2719 - val_auc: 0.8167 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 15/500\n",
            "69/69 - 27s - loss: 3.5863 - accuracy: 0.2732 - auc: 0.8251 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5789 - val_accuracy: 0.2833 - val_auc: 0.8279 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 16/500\n",
            "69/69 - 26s - loss: 3.5693 - accuracy: 0.2732 - auc: 0.8383 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5612 - val_accuracy: 0.2928 - val_auc: 0.8393 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 17/500\n",
            "69/69 - 27s - loss: 3.5509 - accuracy: 0.2937 - auc: 0.8501 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5436 - val_accuracy: 0.2985 - val_auc: 0.8538 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 18/500\n",
            "69/69 - 26s - loss: 3.5328 - accuracy: 0.3015 - auc: 0.8619 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5261 - val_accuracy: 0.3099 - val_auc: 0.8574 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 19/500\n",
            "69/69 - 26s - loss: 3.5142 - accuracy: 0.3169 - auc: 0.8662 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5086 - val_accuracy: 0.3175 - val_auc: 0.8640 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 20/500\n",
            "69/69 - 26s - loss: 3.4967 - accuracy: 0.3169 - auc: 0.8731 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4903 - val_accuracy: 0.3384 - val_auc: 0.8689 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 21/500\n",
            "69/69 - 26s - loss: 3.4797 - accuracy: 0.3215 - auc: 0.8776 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4727 - val_accuracy: 0.3365 - val_auc: 0.8804 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 22/500\n",
            "69/69 - 26s - loss: 3.4616 - accuracy: 0.3347 - auc: 0.8877 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4554 - val_accuracy: 0.3441 - val_auc: 0.8865 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 23/500\n",
            "69/69 - 26s - loss: 3.4439 - accuracy: 0.3388 - auc: 0.8917 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4377 - val_accuracy: 0.3479 - val_auc: 0.8923 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 24/500\n",
            "69/69 - 26s - loss: 3.4267 - accuracy: 0.3434 - auc: 0.8969 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4201 - val_accuracy: 0.3593 - val_auc: 0.8970 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 25/500\n",
            "69/69 - 26s - loss: 3.4107 - accuracy: 0.3347 - auc: 0.9015 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4032 - val_accuracy: 0.3574 - val_auc: 0.9016 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 26/500\n",
            "69/69 - 26s - loss: 3.3934 - accuracy: 0.3338 - auc: 0.9074 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3859 - val_accuracy: 0.3593 - val_auc: 0.9043 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 27/500\n",
            "69/69 - 26s - loss: 3.3771 - accuracy: 0.3506 - auc: 0.9097 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3693 - val_accuracy: 0.3726 - val_auc: 0.9062 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 28/500\n",
            "69/69 - 26s - loss: 3.3584 - accuracy: 0.3547 - auc: 0.9153 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3521 - val_accuracy: 0.3726 - val_auc: 0.9105 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 29/500\n",
            "69/69 - 26s - loss: 3.3422 - accuracy: 0.3529 - auc: 0.9163 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3351 - val_accuracy: 0.3726 - val_auc: 0.9135 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 30/500\n",
            "69/69 - 26s - loss: 3.3257 - accuracy: 0.3629 - auc: 0.9165 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3178 - val_accuracy: 0.3783 - val_auc: 0.9172 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 31/500\n",
            "69/69 - 26s - loss: 3.3073 - accuracy: 0.3625 - auc: 0.9228 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3013 - val_accuracy: 0.3783 - val_auc: 0.9200 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 32/500\n",
            "69/69 - 26s - loss: 3.2887 - accuracy: 0.3811 - auc: 0.9277 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2845 - val_accuracy: 0.3764 - val_auc: 0.9235 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 33/500\n",
            "69/69 - 26s - loss: 3.2730 - accuracy: 0.3830 - auc: 0.9296 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2679 - val_accuracy: 0.3821 - val_auc: 0.9206 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 34/500\n",
            "69/69 - 26s - loss: 3.2567 - accuracy: 0.3711 - auc: 0.9290 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2517 - val_accuracy: 0.3783 - val_auc: 0.9236 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 35/500\n",
            "69/69 - 26s - loss: 3.2403 - accuracy: 0.3811 - auc: 0.9304 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2359 - val_accuracy: 0.3821 - val_auc: 0.9247 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 36/500\n",
            "69/69 - 26s - loss: 3.2218 - accuracy: 0.3793 - auc: 0.9335 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2200 - val_accuracy: 0.3783 - val_auc: 0.9264 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 37/500\n",
            "69/69 - 26s - loss: 3.2077 - accuracy: 0.3766 - auc: 0.9356 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2044 - val_accuracy: 0.3821 - val_auc: 0.9288 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 38/500\n",
            "69/69 - 26s - loss: 3.1974 - accuracy: 0.3798 - auc: 0.9324 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1887 - val_accuracy: 0.3821 - val_auc: 0.9306 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 39/500\n",
            "69/69 - 26s - loss: 3.1723 - accuracy: 0.3994 - auc: 0.9379 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1733 - val_accuracy: 0.3840 - val_auc: 0.9313 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 40/500\n",
            "69/69 - 26s - loss: 3.1608 - accuracy: 0.3971 - auc: 0.9388 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1578 - val_accuracy: 0.3840 - val_auc: 0.9328 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 41/500\n",
            "69/69 - 26s - loss: 3.1482 - accuracy: 0.3930 - auc: 0.9392 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1426 - val_accuracy: 0.3840 - val_auc: 0.9334 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 42/500\n",
            "69/69 - 26s - loss: 3.1276 - accuracy: 0.4048 - auc: 0.9441 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1280 - val_accuracy: 0.3859 - val_auc: 0.9344 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 43/500\n",
            "69/69 - 26s - loss: 3.1198 - accuracy: 0.3852 - auc: 0.9427 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1132 - val_accuracy: 0.3897 - val_auc: 0.9356 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 44/500\n",
            "69/69 - 26s - loss: 3.0997 - accuracy: 0.3934 - auc: 0.9466 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0976 - val_accuracy: 0.3897 - val_auc: 0.9350 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 45/500\n",
            "69/69 - 26s - loss: 3.0848 - accuracy: 0.3989 - auc: 0.9457 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0837 - val_accuracy: 0.3878 - val_auc: 0.9355 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 46/500\n",
            "69/69 - 26s - loss: 3.0720 - accuracy: 0.4003 - auc: 0.9459 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0688 - val_accuracy: 0.3935 - val_auc: 0.9369 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 47/500\n",
            "69/69 - 26s - loss: 3.0597 - accuracy: 0.4053 - auc: 0.9456 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0549 - val_accuracy: 0.3954 - val_auc: 0.9380 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 48/500\n",
            "69/69 - 26s - loss: 3.0434 - accuracy: 0.4076 - auc: 0.9448 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0405 - val_accuracy: 0.3992 - val_auc: 0.9353 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 49/500\n",
            "69/69 - 26s - loss: 3.0314 - accuracy: 0.4044 - auc: 0.9471 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0271 - val_accuracy: 0.4011 - val_auc: 0.9365 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 50/500\n",
            "69/69 - 26s - loss: 3.0075 - accuracy: 0.4189 - auc: 0.9524 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0135 - val_accuracy: 0.4030 - val_auc: 0.9366 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 51/500\n",
            "69/69 - 26s - loss: 3.0020 - accuracy: 0.4080 - auc: 0.9489 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0003 - val_accuracy: 0.4106 - val_auc: 0.9378 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 52/500\n",
            "69/69 - 26s - loss: 2.9886 - accuracy: 0.4294 - auc: 0.9498 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9867 - val_accuracy: 0.4144 - val_auc: 0.9386 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 53/500\n",
            "69/69 - 26s - loss: 2.9773 - accuracy: 0.4230 - auc: 0.9498 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9740 - val_accuracy: 0.4202 - val_auc: 0.9389 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 54/500\n",
            "69/69 - 26s - loss: 2.9615 - accuracy: 0.4253 - auc: 0.9511 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9609 - val_accuracy: 0.4202 - val_auc: 0.9405 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 55/500\n",
            "69/69 - 26s - loss: 2.9439 - accuracy: 0.4390 - auc: 0.9522 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9482 - val_accuracy: 0.4278 - val_auc: 0.9408 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 56/500\n",
            "69/69 - 26s - loss: 2.9338 - accuracy: 0.4458 - auc: 0.9530 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9359 - val_accuracy: 0.4278 - val_auc: 0.9410 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 57/500\n",
            "69/69 - 26s - loss: 2.9238 - accuracy: 0.4403 - auc: 0.9551 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9238 - val_accuracy: 0.4316 - val_auc: 0.9416 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 58/500\n",
            "69/69 - 26s - loss: 2.9035 - accuracy: 0.4563 - auc: 0.9560 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9117 - val_accuracy: 0.4316 - val_auc: 0.9424 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 59/500\n",
            "69/69 - 26s - loss: 2.9067 - accuracy: 0.4413 - auc: 0.9525 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8998 - val_accuracy: 0.4297 - val_auc: 0.9432 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 60/500\n",
            "69/69 - 26s - loss: 2.8841 - accuracy: 0.4508 - auc: 0.9553 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8883 - val_accuracy: 0.4335 - val_auc: 0.9464 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 61/500\n",
            "69/69 - 26s - loss: 2.8740 - accuracy: 0.4485 - auc: 0.9543 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8767 - val_accuracy: 0.4354 - val_auc: 0.9466 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 62/500\n",
            "69/69 - 26s - loss: 2.8605 - accuracy: 0.4595 - auc: 0.9567 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8654 - val_accuracy: 0.4449 - val_auc: 0.9474 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 63/500\n",
            "69/69 - 26s - loss: 2.8576 - accuracy: 0.4522 - auc: 0.9537 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8538 - val_accuracy: 0.4430 - val_auc: 0.9472 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 64/500\n",
            "69/69 - 26s - loss: 2.8375 - accuracy: 0.4727 - auc: 0.9579 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8431 - val_accuracy: 0.4468 - val_auc: 0.9478 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 65/500\n",
            "69/69 - 26s - loss: 2.8283 - accuracy: 0.4645 - auc: 0.9577 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8320 - val_accuracy: 0.4544 - val_auc: 0.9485 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 66/500\n",
            "69/69 - 26s - loss: 2.8139 - accuracy: 0.4804 - auc: 0.9585 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8214 - val_accuracy: 0.4563 - val_auc: 0.9488 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 67/500\n",
            "69/69 - 26s - loss: 2.8104 - accuracy: 0.4713 - auc: 0.9570 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8112 - val_accuracy: 0.4525 - val_auc: 0.9494 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 68/500\n",
            "69/69 - 26s - loss: 2.7967 - accuracy: 0.4804 - auc: 0.9585 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8009 - val_accuracy: 0.4620 - val_auc: 0.9499 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 69/500\n",
            "69/69 - 26s - loss: 2.7866 - accuracy: 0.4822 - auc: 0.9594 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7910 - val_accuracy: 0.4658 - val_auc: 0.9506 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 70/500\n",
            "69/69 - 26s - loss: 2.7693 - accuracy: 0.5000 - auc: 0.9596 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7800 - val_accuracy: 0.4677 - val_auc: 0.9511 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 71/500\n",
            "69/69 - 26s - loss: 2.7643 - accuracy: 0.4932 - auc: 0.9605 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7706 - val_accuracy: 0.4677 - val_auc: 0.9506 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 72/500\n",
            "69/69 - 26s - loss: 2.7570 - accuracy: 0.4854 - auc: 0.9577 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7614 - val_accuracy: 0.4696 - val_auc: 0.9516 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 73/500\n",
            "69/69 - 26s - loss: 2.7519 - accuracy: 0.4927 - auc: 0.9578 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7519 - val_accuracy: 0.4734 - val_auc: 0.9524 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 74/500\n",
            "69/69 - 26s - loss: 2.7332 - accuracy: 0.5064 - auc: 0.9605 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7422 - val_accuracy: 0.4753 - val_auc: 0.9526 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 75/500\n",
            "69/69 - 26s - loss: 2.7343 - accuracy: 0.5041 - auc: 0.9575 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7324 - val_accuracy: 0.4791 - val_auc: 0.9526 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 76/500\n",
            "69/69 - 26s - loss: 2.7063 - accuracy: 0.5023 - auc: 0.9631 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7241 - val_accuracy: 0.4867 - val_auc: 0.9525 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 77/500\n",
            "69/69 - 26s - loss: 2.7098 - accuracy: 0.5096 - auc: 0.9591 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7152 - val_accuracy: 0.4924 - val_auc: 0.9528 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 78/500\n",
            "69/69 - 26s - loss: 2.6901 - accuracy: 0.5109 - auc: 0.9648 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7062 - val_accuracy: 0.4943 - val_auc: 0.9523 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 79/500\n",
            "69/69 - 26s - loss: 2.6937 - accuracy: 0.5087 - auc: 0.9609 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6977 - val_accuracy: 0.4962 - val_auc: 0.9527 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 80/500\n",
            "69/69 - 26s - loss: 2.6747 - accuracy: 0.5269 - auc: 0.9641 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6891 - val_accuracy: 0.5000 - val_auc: 0.9535 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 81/500\n",
            "69/69 - 26s - loss: 2.6735 - accuracy: 0.5159 - auc: 0.9607 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6804 - val_accuracy: 0.5019 - val_auc: 0.9537 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 82/500\n",
            "69/69 - 26s - loss: 2.6594 - accuracy: 0.5223 - auc: 0.9645 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6723 - val_accuracy: 0.5076 - val_auc: 0.9533 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 83/500\n",
            "69/69 - 26s - loss: 2.6538 - accuracy: 0.5196 - auc: 0.9629 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6639 - val_accuracy: 0.5114 - val_auc: 0.9544 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 84/500\n",
            "69/69 - 26s - loss: 2.6465 - accuracy: 0.5364 - auc: 0.9633 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6555 - val_accuracy: 0.5095 - val_auc: 0.9537 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 85/500\n",
            "69/69 - 26s - loss: 2.6272 - accuracy: 0.5360 - auc: 0.9651 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6479 - val_accuracy: 0.5190 - val_auc: 0.9542 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 86/500\n",
            "69/69 - 26s - loss: 2.6295 - accuracy: 0.5355 - auc: 0.9623 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6396 - val_accuracy: 0.5247 - val_auc: 0.9542 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 87/500\n",
            "69/69 - 26s - loss: 2.6173 - accuracy: 0.5405 - auc: 0.9653 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6319 - val_accuracy: 0.5266 - val_auc: 0.9543 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 88/500\n",
            "69/69 - 26s - loss: 2.6113 - accuracy: 0.5460 - auc: 0.9628 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6243 - val_accuracy: 0.5228 - val_auc: 0.9549 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 89/500\n",
            "69/69 - 26s - loss: 2.5990 - accuracy: 0.5501 - auc: 0.9656 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6169 - val_accuracy: 0.5266 - val_auc: 0.9547 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 90/500\n",
            "69/69 - 26s - loss: 2.5881 - accuracy: 0.5587 - auc: 0.9676 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6093 - val_accuracy: 0.5285 - val_auc: 0.9555 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 91/500\n",
            "69/69 - 26s - loss: 2.5839 - accuracy: 0.5569 - auc: 0.9654 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6020 - val_accuracy: 0.5342 - val_auc: 0.9562 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 92/500\n",
            "69/69 - 26s - loss: 2.5776 - accuracy: 0.5606 - auc: 0.9658 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5944 - val_accuracy: 0.5361 - val_auc: 0.9565 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 93/500\n",
            "69/69 - 26s - loss: 2.5771 - accuracy: 0.5478 - auc: 0.9648 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5871 - val_accuracy: 0.5418 - val_auc: 0.9569 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 94/500\n",
            "69/69 - 26s - loss: 2.5680 - accuracy: 0.5455 - auc: 0.9659 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5805 - val_accuracy: 0.5399 - val_auc: 0.9569 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 95/500\n",
            "69/69 - 26s - loss: 2.5643 - accuracy: 0.5533 - auc: 0.9652 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5737 - val_accuracy: 0.5399 - val_auc: 0.9579 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 96/500\n",
            "69/69 - 26s - loss: 2.5500 - accuracy: 0.5569 - auc: 0.9674 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5669 - val_accuracy: 0.5456 - val_auc: 0.9550 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 97/500\n",
            "69/69 - 26s - loss: 2.5469 - accuracy: 0.5597 - auc: 0.9672 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5599 - val_accuracy: 0.5513 - val_auc: 0.9551 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 98/500\n",
            "69/69 - 26s - loss: 2.5293 - accuracy: 0.5679 - auc: 0.9686 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5538 - val_accuracy: 0.5570 - val_auc: 0.9551 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 99/500\n",
            "69/69 - 26s - loss: 2.5302 - accuracy: 0.5697 - auc: 0.9683 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5473 - val_accuracy: 0.5456 - val_auc: 0.9565 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 100/500\n",
            "69/69 - 26s - loss: 2.5277 - accuracy: 0.5724 - auc: 0.9681 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5410 - val_accuracy: 0.5494 - val_auc: 0.9559 - val_recall: 0.0019 - val_precision: 1.0000\n",
            "Epoch 101/500\n",
            "69/69 - 26s - loss: 2.5157 - accuracy: 0.5697 - auc: 0.9675 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5349 - val_accuracy: 0.5494 - val_auc: 0.9560 - val_recall: 0.0019 - val_precision: 1.0000\n",
            "Epoch 102/500\n",
            "69/69 - 26s - loss: 2.5146 - accuracy: 0.5660 - auc: 0.9688 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5285 - val_accuracy: 0.5589 - val_auc: 0.9560 - val_recall: 0.0038 - val_precision: 1.0000\n",
            "Epoch 103/500\n",
            "69/69 - 26s - loss: 2.5019 - accuracy: 0.5719 - auc: 0.9684 - recall: 9.1075e-04 - precision: 1.0000 - val_loss: 2.5235 - val_accuracy: 0.5589 - val_auc: 0.9568 - val_recall: 0.0057 - val_precision: 1.0000\n",
            "Epoch 104/500\n",
            "69/69 - 26s - loss: 2.5008 - accuracy: 0.5801 - auc: 0.9685 - recall: 0.0018 - precision: 1.0000 - val_loss: 2.5171 - val_accuracy: 0.5608 - val_auc: 0.9572 - val_recall: 0.0057 - val_precision: 1.0000\n",
            "Epoch 105/500\n",
            "69/69 - 26s - loss: 2.4883 - accuracy: 0.5906 - auc: 0.9666 - recall: 0.0018 - precision: 1.0000 - val_loss: 2.5112 - val_accuracy: 0.5665 - val_auc: 0.9578 - val_recall: 0.0057 - val_precision: 1.0000\n",
            "Epoch 106/500\n",
            "69/69 - 26s - loss: 2.4942 - accuracy: 0.5719 - auc: 0.9674 - recall: 0.0041 - precision: 1.0000 - val_loss: 2.5051 - val_accuracy: 0.5665 - val_auc: 0.9582 - val_recall: 0.0057 - val_precision: 1.0000\n",
            "Epoch 107/500\n",
            "69/69 - 26s - loss: 2.4796 - accuracy: 0.5788 - auc: 0.9690 - recall: 0.0018 - precision: 1.0000 - val_loss: 2.4986 - val_accuracy: 0.5646 - val_auc: 0.9580 - val_recall: 0.0057 - val_precision: 1.0000\n",
            "Epoch 108/500\n",
            "69/69 - 26s - loss: 2.4659 - accuracy: 0.5874 - auc: 0.9676 - recall: 0.0027 - precision: 1.0000 - val_loss: 2.4927 - val_accuracy: 0.5646 - val_auc: 0.9580 - val_recall: 0.0057 - val_precision: 1.0000\n",
            "Epoch 109/500\n",
            "69/69 - 26s - loss: 2.4633 - accuracy: 0.5915 - auc: 0.9701 - recall: 0.0023 - precision: 1.0000 - val_loss: 2.4870 - val_accuracy: 0.5741 - val_auc: 0.9585 - val_recall: 0.0076 - val_precision: 1.0000\n",
            "Epoch 110/500\n",
            "69/69 - 26s - loss: 2.4541 - accuracy: 0.5943 - auc: 0.9684 - recall: 0.0050 - precision: 1.0000 - val_loss: 2.4815 - val_accuracy: 0.5760 - val_auc: 0.9585 - val_recall: 0.0076 - val_precision: 1.0000\n",
            "Epoch 111/500\n",
            "69/69 - 26s - loss: 2.4606 - accuracy: 0.5801 - auc: 0.9685 - recall: 0.0050 - precision: 1.0000 - val_loss: 2.4765 - val_accuracy: 0.5779 - val_auc: 0.9585 - val_recall: 0.0076 - val_precision: 1.0000\n",
            "Epoch 112/500\n",
            "69/69 - 26s - loss: 2.4576 - accuracy: 0.5760 - auc: 0.9673 - recall: 0.0059 - precision: 1.0000 - val_loss: 2.4709 - val_accuracy: 0.5779 - val_auc: 0.9583 - val_recall: 0.0114 - val_precision: 1.0000\n",
            "Epoch 113/500\n",
            "69/69 - 26s - loss: 2.4481 - accuracy: 0.5924 - auc: 0.9691 - recall: 0.0064 - precision: 1.0000 - val_loss: 2.4653 - val_accuracy: 0.5798 - val_auc: 0.9586 - val_recall: 0.0114 - val_precision: 1.0000\n",
            "Epoch 114/500\n",
            "69/69 - 26s - loss: 2.4450 - accuracy: 0.5879 - auc: 0.9699 - recall: 0.0077 - precision: 1.0000 - val_loss: 2.4602 - val_accuracy: 0.5837 - val_auc: 0.9583 - val_recall: 0.0133 - val_precision: 1.0000\n",
            "Epoch 115/500\n",
            "69/69 - 26s - loss: 2.4352 - accuracy: 0.5943 - auc: 0.9687 - recall: 0.0059 - precision: 1.0000 - val_loss: 2.4544 - val_accuracy: 0.5798 - val_auc: 0.9589 - val_recall: 0.0152 - val_precision: 1.0000\n",
            "Epoch 116/500\n",
            "69/69 - 26s - loss: 2.4291 - accuracy: 0.5915 - auc: 0.9701 - recall: 0.0118 - precision: 1.0000 - val_loss: 2.4490 - val_accuracy: 0.5798 - val_auc: 0.9590 - val_recall: 0.0152 - val_precision: 1.0000\n",
            "Epoch 117/500\n",
            "69/69 - 26s - loss: 2.4246 - accuracy: 0.5979 - auc: 0.9704 - recall: 0.0087 - precision: 1.0000 - val_loss: 2.4439 - val_accuracy: 0.5837 - val_auc: 0.9592 - val_recall: 0.0152 - val_precision: 1.0000\n",
            "Epoch 118/500\n",
            "69/69 - 26s - loss: 2.4074 - accuracy: 0.6011 - auc: 0.9717 - recall: 0.0096 - precision: 1.0000 - val_loss: 2.4388 - val_accuracy: 0.5837 - val_auc: 0.9592 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 119/500\n",
            "69/69 - 26s - loss: 2.4067 - accuracy: 0.6029 - auc: 0.9709 - recall: 0.0096 - precision: 1.0000 - val_loss: 2.4329 - val_accuracy: 0.5856 - val_auc: 0.9599 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 120/500\n",
            "69/69 - 26s - loss: 2.4074 - accuracy: 0.6002 - auc: 0.9703 - recall: 0.0096 - precision: 1.0000 - val_loss: 2.4283 - val_accuracy: 0.5817 - val_auc: 0.9605 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 121/500\n",
            "69/69 - 26s - loss: 2.4027 - accuracy: 0.6025 - auc: 0.9701 - recall: 0.0118 - precision: 1.0000 - val_loss: 2.4228 - val_accuracy: 0.5837 - val_auc: 0.9607 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 122/500\n",
            "69/69 - 26s - loss: 2.3918 - accuracy: 0.6038 - auc: 0.9717 - recall: 0.0114 - precision: 1.0000 - val_loss: 2.4172 - val_accuracy: 0.5875 - val_auc: 0.9608 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 123/500\n",
            "69/69 - 26s - loss: 2.3959 - accuracy: 0.6020 - auc: 0.9698 - recall: 0.0123 - precision: 1.0000 - val_loss: 2.4122 - val_accuracy: 0.5837 - val_auc: 0.9615 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 124/500\n",
            "69/69 - 26s - loss: 2.3823 - accuracy: 0.6020 - auc: 0.9709 - recall: 0.0141 - precision: 1.0000 - val_loss: 2.4069 - val_accuracy: 0.5932 - val_auc: 0.9617 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 125/500\n",
            "69/69 - 26s - loss: 2.3717 - accuracy: 0.6129 - auc: 0.9698 - recall: 0.0123 - precision: 1.0000 - val_loss: 2.4014 - val_accuracy: 0.5932 - val_auc: 0.9615 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 126/500\n",
            "69/69 - 26s - loss: 2.3758 - accuracy: 0.6097 - auc: 0.9702 - recall: 0.0155 - precision: 1.0000 - val_loss: 2.3970 - val_accuracy: 0.5970 - val_auc: 0.9614 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 127/500\n",
            "69/69 - 26s - loss: 2.3695 - accuracy: 0.5952 - auc: 0.9718 - recall: 0.0128 - precision: 1.0000 - val_loss: 2.3925 - val_accuracy: 0.5989 - val_auc: 0.9615 - val_recall: 0.0171 - val_precision: 1.0000\n",
            "Epoch 128/500\n",
            "69/69 - 26s - loss: 2.3681 - accuracy: 0.6066 - auc: 0.9706 - recall: 0.0118 - precision: 1.0000 - val_loss: 2.3877 - val_accuracy: 0.6027 - val_auc: 0.9616 - val_recall: 0.0190 - val_precision: 1.0000\n",
            "Epoch 129/500\n",
            "69/69 - 26s - loss: 2.3561 - accuracy: 0.6107 - auc: 0.9702 - recall: 0.0168 - precision: 1.0000 - val_loss: 2.3838 - val_accuracy: 0.6008 - val_auc: 0.9619 - val_recall: 0.0209 - val_precision: 1.0000\n",
            "Epoch 130/500\n",
            "69/69 - 26s - loss: 2.3585 - accuracy: 0.6157 - auc: 0.9697 - recall: 0.0146 - precision: 1.0000 - val_loss: 2.3793 - val_accuracy: 0.6027 - val_auc: 0.9615 - val_recall: 0.0209 - val_precision: 1.0000\n",
            "Epoch 131/500\n",
            "69/69 - 26s - loss: 2.3427 - accuracy: 0.6293 - auc: 0.9714 - recall: 0.0164 - precision: 1.0000 - val_loss: 2.3746 - val_accuracy: 0.6065 - val_auc: 0.9620 - val_recall: 0.0209 - val_precision: 1.0000\n",
            "Epoch 132/500\n",
            "69/69 - 26s - loss: 2.3486 - accuracy: 0.6248 - auc: 0.9711 - recall: 0.0159 - precision: 1.0000 - val_loss: 2.3701 - val_accuracy: 0.6084 - val_auc: 0.9619 - val_recall: 0.0209 - val_precision: 1.0000\n",
            "Epoch 133/500\n",
            "69/69 - 26s - loss: 2.3369 - accuracy: 0.6261 - auc: 0.9720 - recall: 0.0150 - precision: 1.0000 - val_loss: 2.3654 - val_accuracy: 0.6065 - val_auc: 0.9618 - val_recall: 0.0228 - val_precision: 1.0000\n",
            "Epoch 134/500\n",
            "69/69 - 26s - loss: 2.3338 - accuracy: 0.6157 - auc: 0.9717 - recall: 0.0168 - precision: 1.0000 - val_loss: 2.3611 - val_accuracy: 0.6065 - val_auc: 0.9620 - val_recall: 0.0228 - val_precision: 1.0000\n",
            "Epoch 135/500\n",
            "69/69 - 26s - loss: 2.3299 - accuracy: 0.6289 - auc: 0.9725 - recall: 0.0205 - precision: 1.0000 - val_loss: 2.3576 - val_accuracy: 0.6084 - val_auc: 0.9617 - val_recall: 0.0228 - val_precision: 1.0000\n",
            "Epoch 136/500\n",
            "69/69 - 26s - loss: 2.3340 - accuracy: 0.6230 - auc: 0.9717 - recall: 0.0196 - precision: 1.0000 - val_loss: 2.3527 - val_accuracy: 0.6084 - val_auc: 0.9616 - val_recall: 0.0228 - val_precision: 1.0000\n",
            "Epoch 137/500\n",
            "69/69 - 26s - loss: 2.3167 - accuracy: 0.6325 - auc: 0.9716 - recall: 0.0182 - precision: 1.0000 - val_loss: 2.3479 - val_accuracy: 0.6122 - val_auc: 0.9621 - val_recall: 0.0228 - val_precision: 1.0000\n",
            "Epoch 138/500\n",
            "69/69 - 26s - loss: 2.3071 - accuracy: 0.6366 - auc: 0.9744 - recall: 0.0168 - precision: 1.0000 - val_loss: 2.3433 - val_accuracy: 0.6141 - val_auc: 0.9621 - val_recall: 0.0228 - val_precision: 1.0000\n",
            "Epoch 139/500\n",
            "69/69 - 26s - loss: 2.3160 - accuracy: 0.6248 - auc: 0.9727 - recall: 0.0209 - precision: 1.0000 - val_loss: 2.3392 - val_accuracy: 0.6141 - val_auc: 0.9622 - val_recall: 0.0247 - val_precision: 1.0000\n",
            "Epoch 140/500\n",
            "69/69 - 26s - loss: 2.3059 - accuracy: 0.6230 - auc: 0.9737 - recall: 0.0196 - precision: 1.0000 - val_loss: 2.3347 - val_accuracy: 0.6141 - val_auc: 0.9623 - val_recall: 0.0247 - val_precision: 1.0000\n",
            "Epoch 141/500\n",
            "69/69 - 26s - loss: 2.3016 - accuracy: 0.6389 - auc: 0.9738 - recall: 0.0219 - precision: 1.0000 - val_loss: 2.3303 - val_accuracy: 0.6141 - val_auc: 0.9625 - val_recall: 0.0285 - val_precision: 1.0000\n",
            "Epoch 142/500\n",
            "69/69 - 26s - loss: 2.2949 - accuracy: 0.6184 - auc: 0.9716 - recall: 0.0200 - precision: 1.0000 - val_loss: 2.3258 - val_accuracy: 0.6141 - val_auc: 0.9625 - val_recall: 0.0285 - val_precision: 1.0000\n",
            "Epoch 143/500\n",
            "69/69 - 26s - loss: 2.2938 - accuracy: 0.6239 - auc: 0.9720 - recall: 0.0196 - precision: 1.0000 - val_loss: 2.3215 - val_accuracy: 0.6160 - val_auc: 0.9628 - val_recall: 0.0285 - val_precision: 1.0000\n",
            "Epoch 144/500\n",
            "69/69 - 26s - loss: 2.2939 - accuracy: 0.6198 - auc: 0.9724 - recall: 0.0228 - precision: 1.0000 - val_loss: 2.3172 - val_accuracy: 0.6160 - val_auc: 0.9630 - val_recall: 0.0285 - val_precision: 1.0000\n",
            "Epoch 145/500\n",
            "69/69 - 26s - loss: 2.2839 - accuracy: 0.6393 - auc: 0.9715 - recall: 0.0209 - precision: 1.0000 - val_loss: 2.3129 - val_accuracy: 0.6160 - val_auc: 0.9628 - val_recall: 0.0304 - val_precision: 1.0000\n",
            "Epoch 146/500\n",
            "69/69 - 26s - loss: 2.2692 - accuracy: 0.6311 - auc: 0.9754 - recall: 0.0223 - precision: 1.0000 - val_loss: 2.3084 - val_accuracy: 0.6198 - val_auc: 0.9633 - val_recall: 0.0323 - val_precision: 1.0000\n",
            "Epoch 147/500\n",
            "69/69 - 26s - loss: 2.2811 - accuracy: 0.6330 - auc: 0.9717 - recall: 0.0214 - precision: 1.0000 - val_loss: 2.3047 - val_accuracy: 0.6179 - val_auc: 0.9633 - val_recall: 0.0323 - val_precision: 1.0000\n",
            "Epoch 148/500\n",
            "69/69 - 26s - loss: 2.2596 - accuracy: 0.6330 - auc: 0.9757 - recall: 0.0228 - precision: 1.0000 - val_loss: 2.3002 - val_accuracy: 0.6217 - val_auc: 0.9638 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 149/500\n",
            "69/69 - 26s - loss: 2.2671 - accuracy: 0.6371 - auc: 0.9736 - recall: 0.0223 - precision: 1.0000 - val_loss: 2.2957 - val_accuracy: 0.6236 - val_auc: 0.9636 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 150/500\n",
            "69/69 - 26s - loss: 2.2694 - accuracy: 0.6270 - auc: 0.9733 - recall: 0.0219 - precision: 1.0000 - val_loss: 2.2917 - val_accuracy: 0.6236 - val_auc: 0.9638 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 151/500\n",
            "69/69 - 26s - loss: 2.2627 - accuracy: 0.6371 - auc: 0.9711 - recall: 0.0237 - precision: 1.0000 - val_loss: 2.2885 - val_accuracy: 0.6236 - val_auc: 0.9630 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 152/500\n",
            "69/69 - 26s - loss: 2.2561 - accuracy: 0.6357 - auc: 0.9736 - recall: 0.0250 - precision: 1.0000 - val_loss: 2.2847 - val_accuracy: 0.6274 - val_auc: 0.9630 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 153/500\n",
            "69/69 - 26s - loss: 2.2584 - accuracy: 0.6352 - auc: 0.9716 - recall: 0.0273 - precision: 1.0000 - val_loss: 2.2805 - val_accuracy: 0.6274 - val_auc: 0.9631 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 154/500\n",
            "69/69 - 26s - loss: 2.2454 - accuracy: 0.6302 - auc: 0.9747 - recall: 0.0264 - precision: 1.0000 - val_loss: 2.2767 - val_accuracy: 0.6255 - val_auc: 0.9630 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 155/500\n",
            "69/69 - 26s - loss: 2.2472 - accuracy: 0.6325 - auc: 0.9743 - recall: 0.0250 - precision: 1.0000 - val_loss: 2.2725 - val_accuracy: 0.6312 - val_auc: 0.9632 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 156/500\n",
            "69/69 - 26s - loss: 2.2436 - accuracy: 0.6325 - auc: 0.9730 - recall: 0.0269 - precision: 1.0000 - val_loss: 2.2679 - val_accuracy: 0.6293 - val_auc: 0.9632 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 157/500\n",
            "69/69 - 26s - loss: 2.2318 - accuracy: 0.6498 - auc: 0.9733 - recall: 0.0246 - precision: 1.0000 - val_loss: 2.2639 - val_accuracy: 0.6312 - val_auc: 0.9631 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 158/500\n",
            "69/69 - 26s - loss: 2.2330 - accuracy: 0.6416 - auc: 0.9739 - recall: 0.0273 - precision: 1.0000 - val_loss: 2.2599 - val_accuracy: 0.6350 - val_auc: 0.9633 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 159/500\n",
            "69/69 - 26s - loss: 2.2378 - accuracy: 0.6302 - auc: 0.9730 - recall: 0.0264 - precision: 1.0000 - val_loss: 2.2563 - val_accuracy: 0.6388 - val_auc: 0.9635 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 160/500\n",
            "69/69 - 26s - loss: 2.2274 - accuracy: 0.6412 - auc: 0.9723 - recall: 0.0287 - precision: 1.0000 - val_loss: 2.2525 - val_accuracy: 0.6388 - val_auc: 0.9635 - val_recall: 0.0342 - val_precision: 1.0000\n",
            "Epoch 161/500\n",
            "69/69 - 26s - loss: 2.2172 - accuracy: 0.6521 - auc: 0.9746 - recall: 0.0287 - precision: 1.0000 - val_loss: 2.2491 - val_accuracy: 0.6445 - val_auc: 0.9639 - val_recall: 0.0361 - val_precision: 1.0000\n",
            "Epoch 162/500\n",
            "69/69 - 26s - loss: 2.2294 - accuracy: 0.6384 - auc: 0.9714 - recall: 0.0291 - precision: 1.0000 - val_loss: 2.2456 - val_accuracy: 0.6464 - val_auc: 0.9638 - val_recall: 0.0361 - val_precision: 1.0000\n",
            "Epoch 163/500\n",
            "69/69 - 26s - loss: 2.2074 - accuracy: 0.6512 - auc: 0.9759 - recall: 0.0273 - precision: 1.0000 - val_loss: 2.2417 - val_accuracy: 0.6445 - val_auc: 0.9641 - val_recall: 0.0361 - val_precision: 1.0000\n",
            "Epoch 164/500\n",
            "69/69 - 26s - loss: 2.2163 - accuracy: 0.6416 - auc: 0.9722 - recall: 0.0291 - precision: 1.0000 - val_loss: 2.2383 - val_accuracy: 0.6464 - val_auc: 0.9641 - val_recall: 0.0361 - val_precision: 1.0000\n",
            "Epoch 165/500\n",
            "69/69 - 26s - loss: 2.2023 - accuracy: 0.6553 - auc: 0.9745 - recall: 0.0287 - precision: 1.0000 - val_loss: 2.2349 - val_accuracy: 0.6464 - val_auc: 0.9642 - val_recall: 0.0361 - val_precision: 1.0000\n",
            "Epoch 166/500\n",
            "69/69 - 26s - loss: 2.2065 - accuracy: 0.6444 - auc: 0.9745 - recall: 0.0278 - precision: 1.0000 - val_loss: 2.2311 - val_accuracy: 0.6483 - val_auc: 0.9636 - val_recall: 0.0361 - val_precision: 1.0000\n",
            "Epoch 167/500\n",
            "69/69 - 26s - loss: 2.1978 - accuracy: 0.6471 - auc: 0.9735 - recall: 0.0282 - precision: 1.0000 - val_loss: 2.2272 - val_accuracy: 0.6483 - val_auc: 0.9639 - val_recall: 0.0361 - val_precision: 1.0000\n",
            "Epoch 168/500\n",
            "69/69 - 26s - loss: 2.1838 - accuracy: 0.6530 - auc: 0.9776 - recall: 0.0273 - precision: 1.0000 - val_loss: 2.2238 - val_accuracy: 0.6483 - val_auc: 0.9648 - val_recall: 0.0361 - val_precision: 1.0000\n",
            "Epoch 169/500\n",
            "69/69 - 26s - loss: 2.1894 - accuracy: 0.6516 - auc: 0.9737 - recall: 0.0301 - precision: 1.0000 - val_loss: 2.2199 - val_accuracy: 0.6502 - val_auc: 0.9639 - val_recall: 0.0380 - val_precision: 1.0000\n",
            "Epoch 170/500\n",
            "69/69 - 26s - loss: 2.1889 - accuracy: 0.6407 - auc: 0.9734 - recall: 0.0301 - precision: 1.0000 - val_loss: 2.2166 - val_accuracy: 0.6521 - val_auc: 0.9641 - val_recall: 0.0380 - val_precision: 1.0000\n",
            "Epoch 171/500\n",
            "69/69 - 26s - loss: 2.1874 - accuracy: 0.6412 - auc: 0.9732 - recall: 0.0310 - precision: 1.0000 - val_loss: 2.2130 - val_accuracy: 0.6521 - val_auc: 0.9640 - val_recall: 0.0380 - val_precision: 1.0000\n",
            "Epoch 172/500\n",
            "69/69 - 26s - loss: 2.1755 - accuracy: 0.6571 - auc: 0.9740 - recall: 0.0305 - precision: 1.0000 - val_loss: 2.2101 - val_accuracy: 0.6540 - val_auc: 0.9644 - val_recall: 0.0380 - val_precision: 1.0000\n",
            "Epoch 173/500\n",
            "69/69 - 26s - loss: 2.1700 - accuracy: 0.6466 - auc: 0.9751 - recall: 0.0323 - precision: 1.0000 - val_loss: 2.2079 - val_accuracy: 0.6540 - val_auc: 0.9645 - val_recall: 0.0380 - val_precision: 1.0000\n",
            "Epoch 174/500\n",
            "69/69 - 26s - loss: 2.1721 - accuracy: 0.6494 - auc: 0.9759 - recall: 0.0319 - precision: 1.0000 - val_loss: 2.2046 - val_accuracy: 0.6559 - val_auc: 0.9642 - val_recall: 0.0399 - val_precision: 1.0000\n",
            "Epoch 175/500\n",
            "69/69 - 26s - loss: 2.1592 - accuracy: 0.6566 - auc: 0.9752 - recall: 0.0346 - precision: 1.0000 - val_loss: 2.2021 - val_accuracy: 0.6540 - val_auc: 0.9643 - val_recall: 0.0399 - val_precision: 1.0000\n",
            "Epoch 176/500\n",
            "69/69 - 26s - loss: 2.1726 - accuracy: 0.6480 - auc: 0.9739 - recall: 0.0323 - precision: 1.0000 - val_loss: 2.1988 - val_accuracy: 0.6578 - val_auc: 0.9642 - val_recall: 0.0399 - val_precision: 1.0000\n",
            "Epoch 177/500\n",
            "69/69 - 26s - loss: 2.1585 - accuracy: 0.6612 - auc: 0.9758 - recall: 0.0301 - precision: 1.0000 - val_loss: 2.1954 - val_accuracy: 0.6540 - val_auc: 0.9639 - val_recall: 0.0399 - val_precision: 1.0000\n",
            "Epoch 178/500\n",
            "69/69 - 26s - loss: 2.1613 - accuracy: 0.6489 - auc: 0.9760 - recall: 0.0319 - precision: 1.0000 - val_loss: 2.1923 - val_accuracy: 0.6540 - val_auc: 0.9639 - val_recall: 0.0418 - val_precision: 1.0000\n",
            "Epoch 179/500\n",
            "69/69 - 26s - loss: 2.1538 - accuracy: 0.6553 - auc: 0.9755 - recall: 0.0337 - precision: 1.0000 - val_loss: 2.1891 - val_accuracy: 0.6540 - val_auc: 0.9639 - val_recall: 0.0418 - val_precision: 1.0000\n",
            "Epoch 180/500\n",
            "69/69 - 26s - loss: 2.1471 - accuracy: 0.6557 - auc: 0.9768 - recall: 0.0301 - precision: 1.0000 - val_loss: 2.1856 - val_accuracy: 0.6559 - val_auc: 0.9643 - val_recall: 0.0418 - val_precision: 1.0000\n",
            "Epoch 181/500\n",
            "69/69 - 26s - loss: 2.1510 - accuracy: 0.6621 - auc: 0.9752 - recall: 0.0337 - precision: 1.0000 - val_loss: 2.1820 - val_accuracy: 0.6559 - val_auc: 0.9644 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 182/500\n",
            "69/69 - 26s - loss: 2.1405 - accuracy: 0.6671 - auc: 0.9753 - recall: 0.0351 - precision: 1.0000 - val_loss: 2.1787 - val_accuracy: 0.6578 - val_auc: 0.9648 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 183/500\n",
            "69/69 - 26s - loss: 2.1380 - accuracy: 0.6685 - auc: 0.9755 - recall: 0.0369 - precision: 1.0000 - val_loss: 2.1753 - val_accuracy: 0.6616 - val_auc: 0.9647 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 184/500\n",
            "69/69 - 26s - loss: 2.1408 - accuracy: 0.6598 - auc: 0.9755 - recall: 0.0383 - precision: 1.0000 - val_loss: 2.1723 - val_accuracy: 0.6616 - val_auc: 0.9646 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 185/500\n",
            "69/69 - 26s - loss: 2.1292 - accuracy: 0.6699 - auc: 0.9771 - recall: 0.0351 - precision: 1.0000 - val_loss: 2.1692 - val_accuracy: 0.6616 - val_auc: 0.9647 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 186/500\n",
            "69/69 - 26s - loss: 2.1349 - accuracy: 0.6594 - auc: 0.9751 - recall: 0.0332 - precision: 1.0000 - val_loss: 2.1661 - val_accuracy: 0.6635 - val_auc: 0.9648 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 187/500\n",
            "69/69 - 26s - loss: 2.1239 - accuracy: 0.6667 - auc: 0.9763 - recall: 0.0373 - precision: 1.0000 - val_loss: 2.1631 - val_accuracy: 0.6635 - val_auc: 0.9646 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 188/500\n",
            "69/69 - 26s - loss: 2.1206 - accuracy: 0.6644 - auc: 0.9766 - recall: 0.0346 - precision: 1.0000 - val_loss: 2.1598 - val_accuracy: 0.6635 - val_auc: 0.9648 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 189/500\n",
            "69/69 - 26s - loss: 2.1263 - accuracy: 0.6617 - auc: 0.9757 - recall: 0.0355 - precision: 1.0000 - val_loss: 2.1564 - val_accuracy: 0.6616 - val_auc: 0.9650 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 190/500\n",
            "69/69 - 26s - loss: 2.1092 - accuracy: 0.6653 - auc: 0.9776 - recall: 0.0378 - precision: 1.0000 - val_loss: 2.1530 - val_accuracy: 0.6616 - val_auc: 0.9652 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 191/500\n",
            "69/69 - 26s - loss: 2.1153 - accuracy: 0.6717 - auc: 0.9736 - recall: 0.0364 - precision: 1.0000 - val_loss: 2.1500 - val_accuracy: 0.6635 - val_auc: 0.9653 - val_recall: 0.0437 - val_precision: 1.0000\n",
            "Epoch 192/500\n",
            "69/69 - 26s - loss: 2.1046 - accuracy: 0.6658 - auc: 0.9769 - recall: 0.0392 - precision: 1.0000 - val_loss: 2.1472 - val_accuracy: 0.6635 - val_auc: 0.9654 - val_recall: 0.0475 - val_precision: 1.0000\n",
            "Epoch 193/500\n",
            "69/69 - 26s - loss: 2.1136 - accuracy: 0.6626 - auc: 0.9758 - recall: 0.0383 - precision: 1.0000 - val_loss: 2.1442 - val_accuracy: 0.6616 - val_auc: 0.9655 - val_recall: 0.0475 - val_precision: 1.0000\n",
            "Epoch 194/500\n",
            "69/69 - 26s - loss: 2.0980 - accuracy: 0.6662 - auc: 0.9766 - recall: 0.0423 - precision: 1.0000 - val_loss: 2.1414 - val_accuracy: 0.6616 - val_auc: 0.9657 - val_recall: 0.0475 - val_precision: 1.0000\n",
            "Epoch 195/500\n",
            "69/69 - 26s - loss: 2.0933 - accuracy: 0.6717 - auc: 0.9771 - recall: 0.0423 - precision: 1.0000 - val_loss: 2.1388 - val_accuracy: 0.6616 - val_auc: 0.9657 - val_recall: 0.0475 - val_precision: 1.0000\n",
            "Epoch 196/500\n",
            "69/69 - 26s - loss: 2.0857 - accuracy: 0.6749 - auc: 0.9775 - recall: 0.0410 - precision: 1.0000 - val_loss: 2.1355 - val_accuracy: 0.6597 - val_auc: 0.9660 - val_recall: 0.0494 - val_precision: 1.0000\n",
            "Epoch 197/500\n",
            "69/69 - 26s - loss: 2.0913 - accuracy: 0.6612 - auc: 0.9764 - recall: 0.0355 - precision: 1.0000 - val_loss: 2.1319 - val_accuracy: 0.6616 - val_auc: 0.9655 - val_recall: 0.0494 - val_precision: 1.0000\n",
            "Epoch 198/500\n",
            "69/69 - 26s - loss: 2.0884 - accuracy: 0.6699 - auc: 0.9781 - recall: 0.0387 - precision: 1.0000 - val_loss: 2.1286 - val_accuracy: 0.6597 - val_auc: 0.9659 - val_recall: 0.0494 - val_precision: 1.0000\n",
            "Epoch 199/500\n",
            "69/69 - 26s - loss: 2.0786 - accuracy: 0.6689 - auc: 0.9777 - recall: 0.0410 - precision: 1.0000 - val_loss: 2.1258 - val_accuracy: 0.6616 - val_auc: 0.9660 - val_recall: 0.0513 - val_precision: 1.0000\n",
            "Epoch 200/500\n",
            "69/69 - 26s - loss: 2.0757 - accuracy: 0.6808 - auc: 0.9775 - recall: 0.0387 - precision: 1.0000 - val_loss: 2.1227 - val_accuracy: 0.6616 - val_auc: 0.9658 - val_recall: 0.0513 - val_precision: 1.0000\n",
            "Epoch 201/500\n",
            "69/69 - 26s - loss: 2.0771 - accuracy: 0.6826 - auc: 0.9755 - recall: 0.0396 - precision: 1.0000 - val_loss: 2.1194 - val_accuracy: 0.6635 - val_auc: 0.9661 - val_recall: 0.0513 - val_precision: 1.0000\n",
            "Epoch 202/500\n",
            "69/69 - 26s - loss: 2.0724 - accuracy: 0.6808 - auc: 0.9776 - recall: 0.0437 - precision: 1.0000 - val_loss: 2.1174 - val_accuracy: 0.6616 - val_auc: 0.9662 - val_recall: 0.0513 - val_precision: 1.0000\n",
            "Epoch 203/500\n",
            "69/69 - 26s - loss: 2.0676 - accuracy: 0.6740 - auc: 0.9780 - recall: 0.0410 - precision: 1.0000 - val_loss: 2.1141 - val_accuracy: 0.6673 - val_auc: 0.9664 - val_recall: 0.0532 - val_precision: 1.0000\n",
            "Epoch 204/500\n",
            "69/69 - 26s - loss: 2.0748 - accuracy: 0.6767 - auc: 0.9756 - recall: 0.0423 - precision: 1.0000 - val_loss: 2.1110 - val_accuracy: 0.6673 - val_auc: 0.9663 - val_recall: 0.0532 - val_precision: 1.0000\n",
            "Epoch 205/500\n",
            "69/69 - 26s - loss: 2.0650 - accuracy: 0.6835 - auc: 0.9772 - recall: 0.0460 - precision: 1.0000 - val_loss: 2.1083 - val_accuracy: 0.6654 - val_auc: 0.9667 - val_recall: 0.0532 - val_precision: 1.0000\n",
            "Epoch 206/500\n",
            "69/69 - 26s - loss: 2.0553 - accuracy: 0.6872 - auc: 0.9779 - recall: 0.0446 - precision: 1.0000 - val_loss: 2.1056 - val_accuracy: 0.6635 - val_auc: 0.9665 - val_recall: 0.0532 - val_precision: 1.0000\n",
            "Epoch 207/500\n",
            "69/69 - 26s - loss: 2.0558 - accuracy: 0.6899 - auc: 0.9774 - recall: 0.0437 - precision: 1.0000 - val_loss: 2.1026 - val_accuracy: 0.6616 - val_auc: 0.9664 - val_recall: 0.0532 - val_precision: 1.0000\n",
            "Epoch 208/500\n",
            "69/69 - 26s - loss: 2.0503 - accuracy: 0.6840 - auc: 0.9779 - recall: 0.0483 - precision: 1.0000 - val_loss: 2.0998 - val_accuracy: 0.6654 - val_auc: 0.9666 - val_recall: 0.0532 - val_precision: 1.0000\n",
            "Epoch 209/500\n",
            "69/69 - 26s - loss: 2.0571 - accuracy: 0.6781 - auc: 0.9758 - recall: 0.0460 - precision: 1.0000 - val_loss: 2.0975 - val_accuracy: 0.6635 - val_auc: 0.9665 - val_recall: 0.0532 - val_precision: 1.0000\n",
            "Epoch 210/500\n",
            "69/69 - 26s - loss: 2.0520 - accuracy: 0.6735 - auc: 0.9777 - recall: 0.0510 - precision: 1.0000 - val_loss: 2.0944 - val_accuracy: 0.6635 - val_auc: 0.9665 - val_recall: 0.0570 - val_precision: 1.0000\n",
            "Epoch 211/500\n",
            "69/69 - 26s - loss: 2.0540 - accuracy: 0.6744 - auc: 0.9765 - recall: 0.0469 - precision: 1.0000 - val_loss: 2.0920 - val_accuracy: 0.6635 - val_auc: 0.9667 - val_recall: 0.0570 - val_precision: 1.0000\n",
            "Epoch 212/500\n",
            "69/69 - 26s - loss: 2.0496 - accuracy: 0.6812 - auc: 0.9788 - recall: 0.0455 - precision: 1.0000 - val_loss: 2.0895 - val_accuracy: 0.6654 - val_auc: 0.9658 - val_recall: 0.0570 - val_precision: 1.0000\n",
            "Epoch 213/500\n",
            "69/69 - 26s - loss: 2.0427 - accuracy: 0.6817 - auc: 0.9775 - recall: 0.0478 - precision: 1.0000 - val_loss: 2.0866 - val_accuracy: 0.6654 - val_auc: 0.9659 - val_recall: 0.0570 - val_precision: 1.0000\n",
            "Epoch 214/500\n",
            "69/69 - 26s - loss: 2.0403 - accuracy: 0.6908 - auc: 0.9777 - recall: 0.0469 - precision: 1.0000 - val_loss: 2.0840 - val_accuracy: 0.6654 - val_auc: 0.9661 - val_recall: 0.0570 - val_precision: 1.0000\n",
            "Epoch 215/500\n",
            "69/69 - 26s - loss: 2.0419 - accuracy: 0.6776 - auc: 0.9781 - recall: 0.0483 - precision: 1.0000 - val_loss: 2.0810 - val_accuracy: 0.6654 - val_auc: 0.9660 - val_recall: 0.0589 - val_precision: 1.0000\n",
            "Epoch 216/500\n",
            "69/69 - 26s - loss: 2.0384 - accuracy: 0.6840 - auc: 0.9766 - recall: 0.0492 - precision: 1.0000 - val_loss: 2.0781 - val_accuracy: 0.6673 - val_auc: 0.9662 - val_recall: 0.0589 - val_precision: 1.0000\n",
            "Epoch 217/500\n",
            "69/69 - 26s - loss: 2.0294 - accuracy: 0.6817 - auc: 0.9775 - recall: 0.0510 - precision: 1.0000 - val_loss: 2.0758 - val_accuracy: 0.6711 - val_auc: 0.9659 - val_recall: 0.0589 - val_precision: 1.0000\n",
            "Epoch 218/500\n",
            "69/69 - 26s - loss: 2.0394 - accuracy: 0.6762 - auc: 0.9769 - recall: 0.0478 - precision: 1.0000 - val_loss: 2.0737 - val_accuracy: 0.6692 - val_auc: 0.9663 - val_recall: 0.0589 - val_precision: 1.0000\n",
            "Epoch 219/500\n",
            "69/69 - 26s - loss: 2.0300 - accuracy: 0.6812 - auc: 0.9777 - recall: 0.0478 - precision: 1.0000 - val_loss: 2.0704 - val_accuracy: 0.6692 - val_auc: 0.9662 - val_recall: 0.0589 - val_precision: 1.0000\n",
            "Epoch 220/500\n",
            "69/69 - 26s - loss: 2.0217 - accuracy: 0.6835 - auc: 0.9764 - recall: 0.0528 - precision: 1.0000 - val_loss: 2.0676 - val_accuracy: 0.6692 - val_auc: 0.9663 - val_recall: 0.0608 - val_precision: 1.0000\n",
            "Epoch 221/500\n",
            "69/69 - 26s - loss: 2.0207 - accuracy: 0.6908 - auc: 0.9771 - recall: 0.0505 - precision: 1.0000 - val_loss: 2.0646 - val_accuracy: 0.6749 - val_auc: 0.9663 - val_recall: 0.0608 - val_precision: 1.0000\n",
            "Epoch 222/500\n",
            "69/69 - 26s - loss: 2.0109 - accuracy: 0.6894 - auc: 0.9779 - recall: 0.0515 - precision: 1.0000 - val_loss: 2.0618 - val_accuracy: 0.6749 - val_auc: 0.9663 - val_recall: 0.0608 - val_precision: 1.0000\n",
            "Epoch 223/500\n",
            "69/69 - 26s - loss: 2.0226 - accuracy: 0.6826 - auc: 0.9772 - recall: 0.0483 - precision: 1.0000 - val_loss: 2.0596 - val_accuracy: 0.6730 - val_auc: 0.9665 - val_recall: 0.0608 - val_precision: 1.0000\n",
            "Epoch 224/500\n",
            "69/69 - 26s - loss: 2.0096 - accuracy: 0.6826 - auc: 0.9785 - recall: 0.0492 - precision: 1.0000 - val_loss: 2.0567 - val_accuracy: 0.6711 - val_auc: 0.9664 - val_recall: 0.0627 - val_precision: 1.0000\n",
            "Epoch 225/500\n",
            "69/69 - 26s - loss: 2.0302 - accuracy: 0.6721 - auc: 0.9754 - recall: 0.0546 - precision: 1.0000 - val_loss: 2.0541 - val_accuracy: 0.6692 - val_auc: 0.9668 - val_recall: 0.0627 - val_precision: 1.0000\n",
            "Epoch 226/500\n",
            "69/69 - 26s - loss: 2.0016 - accuracy: 0.6858 - auc: 0.9786 - recall: 0.0515 - precision: 1.0000 - val_loss: 2.0520 - val_accuracy: 0.6768 - val_auc: 0.9667 - val_recall: 0.0627 - val_precision: 1.0000\n",
            "Epoch 227/500\n",
            "69/69 - 26s - loss: 1.9962 - accuracy: 0.6903 - auc: 0.9787 - recall: 0.0496 - precision: 1.0000 - val_loss: 2.0494 - val_accuracy: 0.6749 - val_auc: 0.9664 - val_recall: 0.0627 - val_precision: 1.0000\n",
            "Epoch 228/500\n",
            "69/69 - 26s - loss: 1.9983 - accuracy: 0.6958 - auc: 0.9776 - recall: 0.0537 - precision: 1.0000 - val_loss: 2.0470 - val_accuracy: 0.6749 - val_auc: 0.9666 - val_recall: 0.0627 - val_precision: 1.0000\n",
            "Epoch 229/500\n",
            "69/69 - 26s - loss: 1.9977 - accuracy: 0.6872 - auc: 0.9783 - recall: 0.0551 - precision: 1.0000 - val_loss: 2.0440 - val_accuracy: 0.6749 - val_auc: 0.9667 - val_recall: 0.0627 - val_precision: 1.0000\n",
            "Epoch 230/500\n",
            "69/69 - 26s - loss: 1.9921 - accuracy: 0.6944 - auc: 0.9766 - recall: 0.0556 - precision: 1.0000 - val_loss: 2.0419 - val_accuracy: 0.6749 - val_auc: 0.9666 - val_recall: 0.0627 - val_precision: 1.0000\n",
            "Epoch 231/500\n",
            "69/69 - 26s - loss: 1.9991 - accuracy: 0.6954 - auc: 0.9775 - recall: 0.0542 - precision: 1.0000 - val_loss: 2.0390 - val_accuracy: 0.6749 - val_auc: 0.9665 - val_recall: 0.0646 - val_precision: 1.0000\n",
            "Epoch 232/500\n",
            "69/69 - 26s - loss: 1.9910 - accuracy: 0.6926 - auc: 0.9791 - recall: 0.0569 - precision: 1.0000 - val_loss: 2.0368 - val_accuracy: 0.6749 - val_auc: 0.9669 - val_recall: 0.0665 - val_precision: 1.0000\n",
            "Epoch 233/500\n",
            "69/69 - 26s - loss: 1.9843 - accuracy: 0.6949 - auc: 0.9795 - recall: 0.0519 - precision: 1.0000 - val_loss: 2.0345 - val_accuracy: 0.6749 - val_auc: 0.9666 - val_recall: 0.0665 - val_precision: 1.0000\n",
            "Epoch 234/500\n",
            "69/69 - 26s - loss: 1.9754 - accuracy: 0.6995 - auc: 0.9798 - recall: 0.0569 - precision: 1.0000 - val_loss: 2.0324 - val_accuracy: 0.6711 - val_auc: 0.9669 - val_recall: 0.0665 - val_precision: 1.0000\n",
            "Epoch 235/500\n",
            "69/69 - 25s - loss: 1.9864 - accuracy: 0.6903 - auc: 0.9791 - recall: 0.0510 - precision: 1.0000 - val_loss: 2.0300 - val_accuracy: 0.6749 - val_auc: 0.9663 - val_recall: 0.0665 - val_precision: 1.0000\n",
            "Epoch 236/500\n",
            "69/69 - 26s - loss: 1.9839 - accuracy: 0.6849 - auc: 0.9781 - recall: 0.0583 - precision: 1.0000 - val_loss: 2.0270 - val_accuracy: 0.6749 - val_auc: 0.9661 - val_recall: 0.0665 - val_precision: 1.0000\n",
            "Epoch 237/500\n",
            "69/69 - 26s - loss: 1.9659 - accuracy: 0.7031 - auc: 0.9781 - recall: 0.0597 - precision: 1.0000 - val_loss: 2.0238 - val_accuracy: 0.6730 - val_auc: 0.9672 - val_recall: 0.0665 - val_precision: 1.0000\n",
            "Epoch 238/500\n",
            "69/69 - 26s - loss: 1.9806 - accuracy: 0.6894 - auc: 0.9782 - recall: 0.0592 - precision: 1.0000 - val_loss: 2.0211 - val_accuracy: 0.6730 - val_auc: 0.9672 - val_recall: 0.0703 - val_precision: 1.0000\n",
            "Epoch 239/500\n",
            "69/69 - 26s - loss: 1.9778 - accuracy: 0.6944 - auc: 0.9784 - recall: 0.0597 - precision: 1.0000 - val_loss: 2.0183 - val_accuracy: 0.6768 - val_auc: 0.9674 - val_recall: 0.0703 - val_precision: 1.0000\n",
            "Epoch 240/500\n",
            "69/69 - 26s - loss: 1.9666 - accuracy: 0.6954 - auc: 0.9788 - recall: 0.0647 - precision: 1.0000 - val_loss: 2.0157 - val_accuracy: 0.6749 - val_auc: 0.9673 - val_recall: 0.0703 - val_precision: 1.0000\n",
            "Epoch 241/500\n",
            "69/69 - 26s - loss: 1.9578 - accuracy: 0.7017 - auc: 0.9789 - recall: 0.0660 - precision: 1.0000 - val_loss: 2.0142 - val_accuracy: 0.6768 - val_auc: 0.9675 - val_recall: 0.0703 - val_precision: 1.0000\n",
            "Epoch 242/500\n",
            "69/69 - 26s - loss: 1.9520 - accuracy: 0.6999 - auc: 0.9792 - recall: 0.0597 - precision: 1.0000 - val_loss: 2.0115 - val_accuracy: 0.6768 - val_auc: 0.9679 - val_recall: 0.0703 - val_precision: 1.0000\n",
            "Epoch 243/500\n",
            "69/69 - 26s - loss: 1.9570 - accuracy: 0.7049 - auc: 0.9776 - recall: 0.0597 - precision: 1.0000 - val_loss: 2.0094 - val_accuracy: 0.6768 - val_auc: 0.9679 - val_recall: 0.0741 - val_precision: 1.0000\n",
            "Epoch 244/500\n",
            "69/69 - 26s - loss: 1.9525 - accuracy: 0.6990 - auc: 0.9787 - recall: 0.0606 - precision: 1.0000 - val_loss: 2.0074 - val_accuracy: 0.6787 - val_auc: 0.9682 - val_recall: 0.0741 - val_precision: 1.0000\n",
            "Epoch 245/500\n",
            "69/69 - 26s - loss: 1.9544 - accuracy: 0.6972 - auc: 0.9796 - recall: 0.0606 - precision: 1.0000 - val_loss: 2.0053 - val_accuracy: 0.6806 - val_auc: 0.9679 - val_recall: 0.0760 - val_precision: 1.0000\n",
            "Epoch 246/500\n",
            "69/69 - 26s - loss: 1.9597 - accuracy: 0.6858 - auc: 0.9769 - recall: 0.0638 - precision: 1.0000 - val_loss: 2.0022 - val_accuracy: 0.6806 - val_auc: 0.9681 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 247/500\n",
            "69/69 - 26s - loss: 1.9513 - accuracy: 0.6876 - auc: 0.9786 - recall: 0.0633 - precision: 1.0000 - val_loss: 1.9991 - val_accuracy: 0.6806 - val_auc: 0.9683 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 248/500\n",
            "69/69 - 26s - loss: 1.9485 - accuracy: 0.6985 - auc: 0.9792 - recall: 0.0619 - precision: 1.0000 - val_loss: 1.9967 - val_accuracy: 0.6806 - val_auc: 0.9680 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 249/500\n",
            "69/69 - 26s - loss: 1.9443 - accuracy: 0.6944 - auc: 0.9792 - recall: 0.0651 - precision: 1.0000 - val_loss: 1.9940 - val_accuracy: 0.6787 - val_auc: 0.9682 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 250/500\n",
            "69/69 - 26s - loss: 1.9495 - accuracy: 0.6908 - auc: 0.9786 - recall: 0.0665 - precision: 1.0000 - val_loss: 1.9919 - val_accuracy: 0.6787 - val_auc: 0.9682 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 251/500\n",
            "69/69 - 26s - loss: 1.9482 - accuracy: 0.6890 - auc: 0.9774 - recall: 0.0597 - precision: 1.0000 - val_loss: 1.9889 - val_accuracy: 0.6806 - val_auc: 0.9683 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 252/500\n",
            "69/69 - 26s - loss: 1.9314 - accuracy: 0.7067 - auc: 0.9801 - recall: 0.0610 - precision: 1.0000 - val_loss: 1.9868 - val_accuracy: 0.6806 - val_auc: 0.9683 - val_recall: 0.0817 - val_precision: 1.0000\n",
            "Epoch 253/500\n",
            "69/69 - 26s - loss: 1.9390 - accuracy: 0.7017 - auc: 0.9790 - recall: 0.0669 - precision: 1.0000 - val_loss: 1.9843 - val_accuracy: 0.6806 - val_auc: 0.9683 - val_recall: 0.0817 - val_precision: 1.0000\n",
            "Epoch 254/500\n",
            "69/69 - 26s - loss: 1.9268 - accuracy: 0.7036 - auc: 0.9793 - recall: 0.0697 - precision: 1.0000 - val_loss: 1.9816 - val_accuracy: 0.6806 - val_auc: 0.9686 - val_recall: 0.0837 - val_precision: 1.0000\n",
            "Epoch 255/500\n",
            "69/69 - 26s - loss: 1.9169 - accuracy: 0.7031 - auc: 0.9798 - recall: 0.0683 - precision: 1.0000 - val_loss: 1.9789 - val_accuracy: 0.6844 - val_auc: 0.9680 - val_recall: 0.0837 - val_precision: 1.0000\n",
            "Epoch 256/500\n",
            "69/69 - 26s - loss: 1.9312 - accuracy: 0.6949 - auc: 0.9778 - recall: 0.0706 - precision: 1.0000 - val_loss: 1.9760 - val_accuracy: 0.6844 - val_auc: 0.9687 - val_recall: 0.0837 - val_precision: 1.0000\n",
            "Epoch 257/500\n",
            "69/69 - 26s - loss: 1.9136 - accuracy: 0.7099 - auc: 0.9800 - recall: 0.0697 - precision: 1.0000 - val_loss: 1.9740 - val_accuracy: 0.6844 - val_auc: 0.9687 - val_recall: 0.0837 - val_precision: 1.0000\n",
            "Epoch 258/500\n",
            "69/69 - 26s - loss: 1.9200 - accuracy: 0.6999 - auc: 0.9789 - recall: 0.0679 - precision: 1.0000 - val_loss: 1.9715 - val_accuracy: 0.6825 - val_auc: 0.9687 - val_recall: 0.0856 - val_precision: 1.0000\n",
            "Epoch 259/500\n",
            "69/69 - 26s - loss: 1.9124 - accuracy: 0.7063 - auc: 0.9809 - recall: 0.0715 - precision: 1.0000 - val_loss: 1.9702 - val_accuracy: 0.6825 - val_auc: 0.9688 - val_recall: 0.0875 - val_precision: 1.0000\n",
            "Epoch 260/500\n",
            "69/69 - 26s - loss: 1.9264 - accuracy: 0.6990 - auc: 0.9769 - recall: 0.0729 - precision: 1.0000 - val_loss: 1.9676 - val_accuracy: 0.6863 - val_auc: 0.9687 - val_recall: 0.0875 - val_precision: 1.0000\n",
            "Epoch 261/500\n",
            "69/69 - 26s - loss: 1.9176 - accuracy: 0.6972 - auc: 0.9786 - recall: 0.0674 - precision: 1.0000 - val_loss: 1.9648 - val_accuracy: 0.6863 - val_auc: 0.9688 - val_recall: 0.0875 - val_precision: 1.0000\n",
            "Epoch 262/500\n",
            "69/69 - 26s - loss: 1.9046 - accuracy: 0.7022 - auc: 0.9797 - recall: 0.0710 - precision: 1.0000 - val_loss: 1.9625 - val_accuracy: 0.6863 - val_auc: 0.9690 - val_recall: 0.0875 - val_precision: 1.0000\n",
            "Epoch 263/500\n",
            "69/69 - 26s - loss: 1.9072 - accuracy: 0.7090 - auc: 0.9797 - recall: 0.0733 - precision: 1.0000 - val_loss: 1.9600 - val_accuracy: 0.6882 - val_auc: 0.9690 - val_recall: 0.0875 - val_precision: 1.0000\n",
            "Epoch 264/500\n",
            "69/69 - 26s - loss: 1.9061 - accuracy: 0.7117 - auc: 0.9789 - recall: 0.0747 - precision: 1.0000 - val_loss: 1.9577 - val_accuracy: 0.6863 - val_auc: 0.9689 - val_recall: 0.0894 - val_precision: 1.0000\n",
            "Epoch 265/500\n",
            "69/69 - 26s - loss: 1.9044 - accuracy: 0.6972 - auc: 0.9796 - recall: 0.0729 - precision: 1.0000 - val_loss: 1.9548 - val_accuracy: 0.6901 - val_auc: 0.9684 - val_recall: 0.0875 - val_precision: 1.0000\n",
            "Epoch 266/500\n",
            "69/69 - 26s - loss: 1.8884 - accuracy: 0.7158 - auc: 0.9790 - recall: 0.0697 - precision: 1.0000 - val_loss: 1.9524 - val_accuracy: 0.6882 - val_auc: 0.9685 - val_recall: 0.0894 - val_precision: 1.0000\n",
            "Epoch 267/500\n",
            "69/69 - 26s - loss: 1.9013 - accuracy: 0.7017 - auc: 0.9795 - recall: 0.0679 - precision: 1.0000 - val_loss: 1.9505 - val_accuracy: 0.6901 - val_auc: 0.9683 - val_recall: 0.0894 - val_precision: 1.0000\n",
            "Epoch 268/500\n",
            "69/69 - 26s - loss: 1.9033 - accuracy: 0.7040 - auc: 0.9776 - recall: 0.0747 - precision: 1.0000 - val_loss: 1.9479 - val_accuracy: 0.6901 - val_auc: 0.9686 - val_recall: 0.0894 - val_precision: 1.0000\n",
            "Epoch 269/500\n",
            "69/69 - 26s - loss: 1.9005 - accuracy: 0.7154 - auc: 0.9796 - recall: 0.0733 - precision: 1.0000 - val_loss: 1.9454 - val_accuracy: 0.6882 - val_auc: 0.9687 - val_recall: 0.0913 - val_precision: 1.0000\n",
            "Epoch 270/500\n",
            "69/69 - 27s - loss: 1.8958 - accuracy: 0.7040 - auc: 0.9793 - recall: 0.0751 - precision: 1.0000 - val_loss: 1.9429 - val_accuracy: 0.6901 - val_auc: 0.9686 - val_recall: 0.0894 - val_precision: 1.0000\n",
            "Epoch 271/500\n",
            "69/69 - 26s - loss: 1.8827 - accuracy: 0.7158 - auc: 0.9794 - recall: 0.0715 - precision: 1.0000 - val_loss: 1.9404 - val_accuracy: 0.6939 - val_auc: 0.9685 - val_recall: 0.0932 - val_precision: 1.0000\n",
            "Epoch 272/500\n",
            "69/69 - 26s - loss: 1.8836 - accuracy: 0.7131 - auc: 0.9780 - recall: 0.0765 - precision: 1.0000 - val_loss: 1.9383 - val_accuracy: 0.6920 - val_auc: 0.9691 - val_recall: 0.0932 - val_precision: 1.0000\n",
            "Epoch 273/500\n",
            "69/69 - 27s - loss: 1.8848 - accuracy: 0.7136 - auc: 0.9795 - recall: 0.0747 - precision: 1.0000 - val_loss: 1.9360 - val_accuracy: 0.6920 - val_auc: 0.9692 - val_recall: 0.0951 - val_precision: 1.0000\n",
            "Epoch 274/500\n",
            "69/69 - 26s - loss: 1.8815 - accuracy: 0.7090 - auc: 0.9793 - recall: 0.0815 - precision: 1.0000 - val_loss: 1.9334 - val_accuracy: 0.6920 - val_auc: 0.9690 - val_recall: 0.0951 - val_precision: 1.0000\n",
            "Epoch 275/500\n",
            "69/69 - 26s - loss: 1.8809 - accuracy: 0.7204 - auc: 0.9778 - recall: 0.0774 - precision: 1.0000 - val_loss: 1.9315 - val_accuracy: 0.6920 - val_auc: 0.9692 - val_recall: 0.0970 - val_precision: 1.0000\n",
            "Epoch 276/500\n",
            "69/69 - 26s - loss: 1.8696 - accuracy: 0.7154 - auc: 0.9810 - recall: 0.0783 - precision: 1.0000 - val_loss: 1.9292 - val_accuracy: 0.6939 - val_auc: 0.9692 - val_recall: 0.0970 - val_precision: 1.0000\n",
            "Epoch 277/500\n",
            "69/69 - 26s - loss: 1.8771 - accuracy: 0.7090 - auc: 0.9800 - recall: 0.0820 - precision: 1.0000 - val_loss: 1.9271 - val_accuracy: 0.6920 - val_auc: 0.9690 - val_recall: 0.0989 - val_precision: 1.0000\n",
            "Epoch 278/500\n",
            "69/69 - 26s - loss: 1.8715 - accuracy: 0.7077 - auc: 0.9791 - recall: 0.0797 - precision: 1.0000 - val_loss: 1.9255 - val_accuracy: 0.6920 - val_auc: 0.9691 - val_recall: 0.0970 - val_precision: 1.0000\n",
            "Epoch 279/500\n",
            "69/69 - 26s - loss: 1.8628 - accuracy: 0.7213 - auc: 0.9795 - recall: 0.0779 - precision: 1.0000 - val_loss: 1.9228 - val_accuracy: 0.6958 - val_auc: 0.9691 - val_recall: 0.1008 - val_precision: 1.0000\n",
            "Epoch 280/500\n",
            "69/69 - 26s - loss: 1.8580 - accuracy: 0.7168 - auc: 0.9801 - recall: 0.0811 - precision: 1.0000 - val_loss: 1.9203 - val_accuracy: 0.6958 - val_auc: 0.9691 - val_recall: 0.1008 - val_precision: 1.0000\n",
            "Epoch 281/500\n",
            "69/69 - 26s - loss: 1.8696 - accuracy: 0.7163 - auc: 0.9784 - recall: 0.0788 - precision: 1.0000 - val_loss: 1.9179 - val_accuracy: 0.6958 - val_auc: 0.9691 - val_recall: 0.1008 - val_precision: 1.0000\n",
            "Epoch 282/500\n",
            "69/69 - 26s - loss: 1.8530 - accuracy: 0.7177 - auc: 0.9802 - recall: 0.0865 - precision: 1.0000 - val_loss: 1.9156 - val_accuracy: 0.6958 - val_auc: 0.9692 - val_recall: 0.1008 - val_precision: 1.0000\n",
            "Epoch 283/500\n",
            "69/69 - 26s - loss: 1.8560 - accuracy: 0.7158 - auc: 0.9790 - recall: 0.0797 - precision: 1.0000 - val_loss: 1.9134 - val_accuracy: 0.6977 - val_auc: 0.9692 - val_recall: 0.1008 - val_precision: 1.0000\n",
            "Epoch 284/500\n",
            "69/69 - 26s - loss: 1.8563 - accuracy: 0.7077 - auc: 0.9803 - recall: 0.0829 - precision: 1.0000 - val_loss: 1.9113 - val_accuracy: 0.6958 - val_auc: 0.9694 - val_recall: 0.1008 - val_precision: 1.0000\n",
            "Epoch 285/500\n",
            "69/69 - 26s - loss: 1.8678 - accuracy: 0.7177 - auc: 0.9789 - recall: 0.0852 - precision: 1.0000 - val_loss: 1.9088 - val_accuracy: 0.6958 - val_auc: 0.9694 - val_recall: 0.1008 - val_precision: 1.0000\n",
            "Epoch 286/500\n",
            "69/69 - 26s - loss: 1.8634 - accuracy: 0.7213 - auc: 0.9780 - recall: 0.0847 - precision: 1.0000 - val_loss: 1.9064 - val_accuracy: 0.6939 - val_auc: 0.9694 - val_recall: 0.1027 - val_precision: 1.0000\n",
            "Epoch 287/500\n",
            "69/69 - 26s - loss: 1.8682 - accuracy: 0.7086 - auc: 0.9775 - recall: 0.0806 - precision: 1.0000 - val_loss: 1.9041 - val_accuracy: 0.6958 - val_auc: 0.9694 - val_recall: 0.1027 - val_precision: 1.0000\n",
            "Epoch 288/500\n",
            "69/69 - 26s - loss: 1.8416 - accuracy: 0.7259 - auc: 0.9807 - recall: 0.0874 - precision: 1.0000 - val_loss: 1.9015 - val_accuracy: 0.6939 - val_auc: 0.9697 - val_recall: 0.1046 - val_precision: 1.0000\n",
            "Epoch 289/500\n",
            "69/69 - 26s - loss: 1.8506 - accuracy: 0.7099 - auc: 0.9788 - recall: 0.0888 - precision: 1.0000 - val_loss: 1.8999 - val_accuracy: 0.6939 - val_auc: 0.9696 - val_recall: 0.1046 - val_precision: 1.0000\n",
            "Epoch 290/500\n",
            "69/69 - 26s - loss: 1.8394 - accuracy: 0.7122 - auc: 0.9792 - recall: 0.0847 - precision: 1.0000 - val_loss: 1.8977 - val_accuracy: 0.6977 - val_auc: 0.9695 - val_recall: 0.1046 - val_precision: 1.0000\n",
            "Epoch 291/500\n",
            "69/69 - 26s - loss: 1.8369 - accuracy: 0.7145 - auc: 0.9816 - recall: 0.0824 - precision: 1.0000 - val_loss: 1.8958 - val_accuracy: 0.6958 - val_auc: 0.9698 - val_recall: 0.1065 - val_precision: 1.0000\n",
            "Epoch 292/500\n",
            "69/69 - 26s - loss: 1.8401 - accuracy: 0.7195 - auc: 0.9803 - recall: 0.0879 - precision: 1.0000 - val_loss: 1.8938 - val_accuracy: 0.6977 - val_auc: 0.9697 - val_recall: 0.1046 - val_precision: 1.0000\n",
            "Epoch 293/500\n",
            "69/69 - 26s - loss: 1.8185 - accuracy: 0.7336 - auc: 0.9803 - recall: 0.0915 - precision: 1.0000 - val_loss: 1.8917 - val_accuracy: 0.6958 - val_auc: 0.9696 - val_recall: 0.1046 - val_precision: 1.0000\n",
            "Epoch 294/500\n",
            "69/69 - 26s - loss: 1.8308 - accuracy: 0.7209 - auc: 0.9804 - recall: 0.0870 - precision: 1.0000 - val_loss: 1.8894 - val_accuracy: 0.6996 - val_auc: 0.9698 - val_recall: 0.1046 - val_precision: 1.0000\n",
            "Epoch 295/500\n",
            "69/69 - 26s - loss: 1.8263 - accuracy: 0.7190 - auc: 0.9816 - recall: 0.0915 - precision: 1.0000 - val_loss: 1.8872 - val_accuracy: 0.6977 - val_auc: 0.9697 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 296/500\n",
            "69/69 - 26s - loss: 1.8243 - accuracy: 0.7186 - auc: 0.9809 - recall: 0.0984 - precision: 1.0000 - val_loss: 1.8848 - val_accuracy: 0.6996 - val_auc: 0.9697 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 297/500\n",
            "69/69 - 26s - loss: 1.8290 - accuracy: 0.7231 - auc: 0.9800 - recall: 0.0920 - precision: 1.0000 - val_loss: 1.8818 - val_accuracy: 0.6977 - val_auc: 0.9700 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 298/500\n",
            "69/69 - 26s - loss: 1.8141 - accuracy: 0.7190 - auc: 0.9818 - recall: 0.0893 - precision: 1.0000 - val_loss: 1.8793 - val_accuracy: 0.6996 - val_auc: 0.9697 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 299/500\n",
            "69/69 - 26s - loss: 1.8161 - accuracy: 0.7177 - auc: 0.9810 - recall: 0.0934 - precision: 1.0000 - val_loss: 1.8771 - val_accuracy: 0.6977 - val_auc: 0.9697 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 300/500\n",
            "69/69 - 26s - loss: 1.8185 - accuracy: 0.7158 - auc: 0.9813 - recall: 0.0938 - precision: 1.0000 - val_loss: 1.8752 - val_accuracy: 0.6996 - val_auc: 0.9700 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 301/500\n",
            "69/69 - 26s - loss: 1.8036 - accuracy: 0.7190 - auc: 0.9810 - recall: 0.1034 - precision: 1.0000 - val_loss: 1.8727 - val_accuracy: 0.6996 - val_auc: 0.9702 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 302/500\n",
            "69/69 - 26s - loss: 1.8174 - accuracy: 0.7254 - auc: 0.9815 - recall: 0.0929 - precision: 1.0000 - val_loss: 1.8706 - val_accuracy: 0.6977 - val_auc: 0.9700 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 303/500\n",
            "69/69 - 26s - loss: 1.8057 - accuracy: 0.7222 - auc: 0.9817 - recall: 0.0970 - precision: 1.0000 - val_loss: 1.8688 - val_accuracy: 0.6977 - val_auc: 0.9699 - val_recall: 0.1084 - val_precision: 1.0000\n",
            "Epoch 304/500\n",
            "69/69 - 26s - loss: 1.8156 - accuracy: 0.7154 - auc: 0.9797 - recall: 0.0915 - precision: 1.0000 - val_loss: 1.8668 - val_accuracy: 0.6996 - val_auc: 0.9701 - val_recall: 0.1103 - val_precision: 1.0000\n",
            "Epoch 305/500\n",
            "69/69 - 26s - loss: 1.8096 - accuracy: 0.7218 - auc: 0.9789 - recall: 0.0997 - precision: 1.0000 - val_loss: 1.8649 - val_accuracy: 0.6996 - val_auc: 0.9703 - val_recall: 0.1103 - val_precision: 1.0000\n",
            "Epoch 306/500\n",
            "69/69 - 26s - loss: 1.8051 - accuracy: 0.7259 - auc: 0.9785 - recall: 0.1025 - precision: 1.0000 - val_loss: 1.8632 - val_accuracy: 0.6996 - val_auc: 0.9702 - val_recall: 0.1103 - val_precision: 1.0000\n",
            "Epoch 307/500\n",
            "69/69 - 26s - loss: 1.8134 - accuracy: 0.7209 - auc: 0.9796 - recall: 0.0970 - precision: 1.0000 - val_loss: 1.8611 - val_accuracy: 0.6977 - val_auc: 0.9704 - val_recall: 0.1122 - val_precision: 1.0000\n",
            "Epoch 308/500\n",
            "69/69 - 26s - loss: 1.8078 - accuracy: 0.7218 - auc: 0.9802 - recall: 0.0984 - precision: 1.0000 - val_loss: 1.8590 - val_accuracy: 0.6977 - val_auc: 0.9704 - val_recall: 0.1122 - val_precision: 1.0000\n",
            "Epoch 309/500\n",
            "69/69 - 26s - loss: 1.8038 - accuracy: 0.7231 - auc: 0.9803 - recall: 0.0938 - precision: 1.0000 - val_loss: 1.8571 - val_accuracy: 0.6977 - val_auc: 0.9705 - val_recall: 0.1122 - val_precision: 1.0000\n",
            "Epoch 310/500\n",
            "69/69 - 26s - loss: 1.7917 - accuracy: 0.7322 - auc: 0.9808 - recall: 0.0965 - precision: 1.0000 - val_loss: 1.8555 - val_accuracy: 0.6996 - val_auc: 0.9705 - val_recall: 0.1122 - val_precision: 1.0000\n",
            "Epoch 311/500\n",
            "69/69 - 26s - loss: 1.7799 - accuracy: 0.7245 - auc: 0.9822 - recall: 0.1047 - precision: 1.0000 - val_loss: 1.8534 - val_accuracy: 0.6996 - val_auc: 0.9703 - val_recall: 0.1122 - val_precision: 1.0000\n",
            "Epoch 312/500\n",
            "69/69 - 26s - loss: 1.7825 - accuracy: 0.7372 - auc: 0.9812 - recall: 0.1015 - precision: 1.0000 - val_loss: 1.8512 - val_accuracy: 0.6996 - val_auc: 0.9704 - val_recall: 0.1122 - val_precision: 1.0000\n",
            "Epoch 313/500\n",
            "69/69 - 26s - loss: 1.7954 - accuracy: 0.7263 - auc: 0.9807 - recall: 0.0997 - precision: 1.0000 - val_loss: 1.8490 - val_accuracy: 0.7015 - val_auc: 0.9705 - val_recall: 0.1122 - val_precision: 1.0000\n",
            "Epoch 314/500\n",
            "69/69 - 26s - loss: 1.7818 - accuracy: 0.7354 - auc: 0.9823 - recall: 0.0997 - precision: 1.0000 - val_loss: 1.8466 - val_accuracy: 0.6996 - val_auc: 0.9705 - val_recall: 0.1122 - val_precision: 1.0000\n",
            "Epoch 315/500\n",
            "69/69 - 26s - loss: 1.7939 - accuracy: 0.7286 - auc: 0.9802 - recall: 0.1034 - precision: 1.0000 - val_loss: 1.8453 - val_accuracy: 0.7015 - val_auc: 0.9705 - val_recall: 0.1160 - val_precision: 1.0000\n",
            "Epoch 316/500\n",
            "69/69 - 26s - loss: 1.7819 - accuracy: 0.7309 - auc: 0.9795 - recall: 0.1006 - precision: 1.0000 - val_loss: 1.8431 - val_accuracy: 0.6996 - val_auc: 0.9707 - val_recall: 0.1160 - val_precision: 1.0000\n",
            "Epoch 317/500\n",
            "69/69 - 26s - loss: 1.7852 - accuracy: 0.7158 - auc: 0.9807 - recall: 0.1066 - precision: 1.0000 - val_loss: 1.8409 - val_accuracy: 0.6996 - val_auc: 0.9706 - val_recall: 0.1179 - val_precision: 1.0000\n",
            "Epoch 318/500\n",
            "69/69 - 26s - loss: 1.7790 - accuracy: 0.7327 - auc: 0.9813 - recall: 0.0974 - precision: 1.0000 - val_loss: 1.8392 - val_accuracy: 0.7034 - val_auc: 0.9707 - val_recall: 0.1198 - val_precision: 1.0000\n",
            "Epoch 319/500\n",
            "69/69 - 26s - loss: 1.7654 - accuracy: 0.7313 - auc: 0.9818 - recall: 0.1056 - precision: 1.0000 - val_loss: 1.8372 - val_accuracy: 0.6996 - val_auc: 0.9707 - val_recall: 0.1179 - val_precision: 1.0000\n",
            "Epoch 320/500\n",
            "69/69 - 26s - loss: 1.7705 - accuracy: 0.7268 - auc: 0.9813 - recall: 0.1020 - precision: 1.0000 - val_loss: 1.8354 - val_accuracy: 0.7034 - val_auc: 0.9707 - val_recall: 0.1179 - val_precision: 1.0000\n",
            "Epoch 321/500\n",
            "69/69 - 26s - loss: 1.7677 - accuracy: 0.7272 - auc: 0.9827 - recall: 0.1120 - precision: 1.0000 - val_loss: 1.8337 - val_accuracy: 0.7015 - val_auc: 0.9709 - val_recall: 0.1179 - val_precision: 1.0000\n",
            "Epoch 322/500\n",
            "69/69 - 26s - loss: 1.7703 - accuracy: 0.7277 - auc: 0.9816 - recall: 0.1061 - precision: 1.0000 - val_loss: 1.8317 - val_accuracy: 0.7034 - val_auc: 0.9710 - val_recall: 0.1217 - val_precision: 1.0000\n",
            "Epoch 323/500\n",
            "69/69 - 26s - loss: 1.7606 - accuracy: 0.7318 - auc: 0.9806 - recall: 0.1056 - precision: 1.0000 - val_loss: 1.8299 - val_accuracy: 0.7034 - val_auc: 0.9709 - val_recall: 0.1236 - val_precision: 1.0000\n",
            "Epoch 324/500\n",
            "69/69 - 26s - loss: 1.7650 - accuracy: 0.7309 - auc: 0.9816 - recall: 0.1006 - precision: 1.0000 - val_loss: 1.8276 - val_accuracy: 0.7034 - val_auc: 0.9710 - val_recall: 0.1236 - val_precision: 1.0000\n",
            "Epoch 325/500\n",
            "69/69 - 26s - loss: 1.7758 - accuracy: 0.7254 - auc: 0.9800 - recall: 0.1102 - precision: 1.0000 - val_loss: 1.8253 - val_accuracy: 0.7034 - val_auc: 0.9711 - val_recall: 0.1255 - val_precision: 1.0000\n",
            "Epoch 326/500\n",
            "69/69 - 26s - loss: 1.7652 - accuracy: 0.7263 - auc: 0.9808 - recall: 0.1116 - precision: 1.0000 - val_loss: 1.8235 - val_accuracy: 0.7015 - val_auc: 0.9711 - val_recall: 0.1274 - val_precision: 1.0000\n",
            "Epoch 327/500\n",
            "69/69 - 26s - loss: 1.7591 - accuracy: 0.7386 - auc: 0.9810 - recall: 0.1088 - precision: 1.0000 - val_loss: 1.8213 - val_accuracy: 0.7015 - val_auc: 0.9712 - val_recall: 0.1274 - val_precision: 1.0000\n",
            "Epoch 328/500\n",
            "69/69 - 26s - loss: 1.7458 - accuracy: 0.7354 - auc: 0.9817 - recall: 0.1088 - precision: 1.0000 - val_loss: 1.8193 - val_accuracy: 0.7034 - val_auc: 0.9714 - val_recall: 0.1274 - val_precision: 1.0000\n",
            "Epoch 329/500\n",
            "69/69 - 26s - loss: 1.7527 - accuracy: 0.7363 - auc: 0.9811 - recall: 0.1097 - precision: 1.0000 - val_loss: 1.8169 - val_accuracy: 0.7053 - val_auc: 0.9714 - val_recall: 0.1293 - val_precision: 1.0000\n",
            "Epoch 330/500\n",
            "69/69 - 26s - loss: 1.7573 - accuracy: 0.7181 - auc: 0.9811 - recall: 0.1129 - precision: 1.0000 - val_loss: 1.8151 - val_accuracy: 0.7034 - val_auc: 0.9714 - val_recall: 0.1312 - val_precision: 1.0000\n",
            "Epoch 331/500\n",
            "69/69 - 26s - loss: 1.7663 - accuracy: 0.7272 - auc: 0.9784 - recall: 0.1193 - precision: 1.0000 - val_loss: 1.8131 - val_accuracy: 0.7034 - val_auc: 0.9713 - val_recall: 0.1312 - val_precision: 1.0000\n",
            "Epoch 332/500\n",
            "69/69 - 26s - loss: 1.7592 - accuracy: 0.7268 - auc: 0.9814 - recall: 0.1102 - precision: 1.0000 - val_loss: 1.8112 - val_accuracy: 0.7034 - val_auc: 0.9712 - val_recall: 0.1293 - val_precision: 1.0000\n",
            "Epoch 333/500\n",
            "69/69 - 26s - loss: 1.7384 - accuracy: 0.7327 - auc: 0.9821 - recall: 0.1125 - precision: 1.0000 - val_loss: 1.8092 - val_accuracy: 0.7053 - val_auc: 0.9712 - val_recall: 0.1350 - val_precision: 1.0000\n",
            "Epoch 334/500\n",
            "69/69 - 26s - loss: 1.7505 - accuracy: 0.7218 - auc: 0.9813 - recall: 0.1125 - precision: 1.0000 - val_loss: 1.8072 - val_accuracy: 0.7053 - val_auc: 0.9714 - val_recall: 0.1350 - val_precision: 1.0000\n",
            "Epoch 335/500\n",
            "69/69 - 26s - loss: 1.7415 - accuracy: 0.7332 - auc: 0.9808 - recall: 0.1116 - precision: 1.0000 - val_loss: 1.8051 - val_accuracy: 0.7053 - val_auc: 0.9713 - val_recall: 0.1350 - val_precision: 1.0000\n",
            "Epoch 336/500\n",
            "69/69 - 26s - loss: 1.7356 - accuracy: 0.7268 - auc: 0.9808 - recall: 0.1179 - precision: 1.0000 - val_loss: 1.8033 - val_accuracy: 0.7053 - val_auc: 0.9713 - val_recall: 0.1350 - val_precision: 1.0000\n",
            "Epoch 337/500\n",
            "69/69 - 27s - loss: 1.7514 - accuracy: 0.7300 - auc: 0.9810 - recall: 0.1093 - precision: 1.0000 - val_loss: 1.8015 - val_accuracy: 0.7072 - val_auc: 0.9714 - val_recall: 0.1388 - val_precision: 1.0000\n",
            "Epoch 338/500\n",
            "69/69 - 26s - loss: 1.7281 - accuracy: 0.7382 - auc: 0.9804 - recall: 0.1198 - precision: 1.0000 - val_loss: 1.7989 - val_accuracy: 0.7053 - val_auc: 0.9715 - val_recall: 0.1388 - val_precision: 1.0000\n",
            "Epoch 339/500\n",
            "69/69 - 26s - loss: 1.7408 - accuracy: 0.7332 - auc: 0.9815 - recall: 0.1088 - precision: 1.0000 - val_loss: 1.7975 - val_accuracy: 0.7053 - val_auc: 0.9713 - val_recall: 0.1407 - val_precision: 1.0000\n",
            "Epoch 340/500\n",
            "69/69 - 26s - loss: 1.7430 - accuracy: 0.7295 - auc: 0.9808 - recall: 0.1152 - precision: 1.0000 - val_loss: 1.7960 - val_accuracy: 0.7053 - val_auc: 0.9713 - val_recall: 0.1426 - val_precision: 1.0000\n",
            "Epoch 341/500\n",
            "69/69 - 26s - loss: 1.7304 - accuracy: 0.7341 - auc: 0.9801 - recall: 0.1220 - precision: 1.0000 - val_loss: 1.7938 - val_accuracy: 0.7072 - val_auc: 0.9716 - val_recall: 0.1426 - val_precision: 1.0000\n",
            "Epoch 342/500\n",
            "69/69 - 26s - loss: 1.7331 - accuracy: 0.7350 - auc: 0.9805 - recall: 0.1198 - precision: 1.0000 - val_loss: 1.7923 - val_accuracy: 0.7110 - val_auc: 0.9713 - val_recall: 0.1426 - val_precision: 1.0000\n",
            "Epoch 343/500\n",
            "69/69 - 27s - loss: 1.7274 - accuracy: 0.7291 - auc: 0.9807 - recall: 0.1184 - precision: 1.0000 - val_loss: 1.7904 - val_accuracy: 0.7110 - val_auc: 0.9716 - val_recall: 0.1426 - val_precision: 1.0000\n",
            "Epoch 344/500\n",
            "69/69 - 26s - loss: 1.7284 - accuracy: 0.7318 - auc: 0.9813 - recall: 0.1198 - precision: 1.0000 - val_loss: 1.7884 - val_accuracy: 0.7110 - val_auc: 0.9714 - val_recall: 0.1445 - val_precision: 1.0000\n",
            "Epoch 345/500\n",
            "69/69 - 26s - loss: 1.7291 - accuracy: 0.7372 - auc: 0.9796 - recall: 0.1166 - precision: 1.0000 - val_loss: 1.7868 - val_accuracy: 0.7110 - val_auc: 0.9713 - val_recall: 0.1445 - val_precision: 1.0000\n",
            "Epoch 346/500\n",
            "69/69 - 26s - loss: 1.7271 - accuracy: 0.7341 - auc: 0.9800 - recall: 0.1189 - precision: 1.0000 - val_loss: 1.7845 - val_accuracy: 0.7091 - val_auc: 0.9714 - val_recall: 0.1445 - val_precision: 1.0000\n",
            "Epoch 347/500\n",
            "69/69 - 26s - loss: 1.7145 - accuracy: 0.7377 - auc: 0.9810 - recall: 0.1243 - precision: 1.0000 - val_loss: 1.7828 - val_accuracy: 0.7072 - val_auc: 0.9715 - val_recall: 0.1464 - val_precision: 1.0000\n",
            "Epoch 348/500\n",
            "69/69 - 26s - loss: 1.7166 - accuracy: 0.7322 - auc: 0.9813 - recall: 0.1239 - precision: 1.0000 - val_loss: 1.7807 - val_accuracy: 0.7091 - val_auc: 0.9716 - val_recall: 0.1464 - val_precision: 1.0000\n",
            "Epoch 349/500\n",
            "69/69 - 26s - loss: 1.7346 - accuracy: 0.7281 - auc: 0.9787 - recall: 0.1211 - precision: 1.0000 - val_loss: 1.7793 - val_accuracy: 0.7110 - val_auc: 0.9715 - val_recall: 0.1464 - val_precision: 1.0000\n",
            "Epoch 350/500\n",
            "69/69 - 26s - loss: 1.6920 - accuracy: 0.7377 - auc: 0.9836 - recall: 0.1339 - precision: 1.0000 - val_loss: 1.7771 - val_accuracy: 0.7091 - val_auc: 0.9715 - val_recall: 0.1464 - val_precision: 1.0000\n",
            "Epoch 351/500\n",
            "69/69 - 26s - loss: 1.7051 - accuracy: 0.7477 - auc: 0.9812 - recall: 0.1270 - precision: 1.0000 - val_loss: 1.7755 - val_accuracy: 0.7091 - val_auc: 0.9715 - val_recall: 0.1502 - val_precision: 1.0000\n",
            "Epoch 352/500\n",
            "69/69 - 26s - loss: 1.7007 - accuracy: 0.7395 - auc: 0.9814 - recall: 0.1239 - precision: 1.0000 - val_loss: 1.7735 - val_accuracy: 0.7110 - val_auc: 0.9715 - val_recall: 0.1502 - val_precision: 1.0000\n",
            "Epoch 353/500\n",
            "69/69 - 26s - loss: 1.7027 - accuracy: 0.7523 - auc: 0.9823 - recall: 0.1270 - precision: 1.0000 - val_loss: 1.7714 - val_accuracy: 0.7110 - val_auc: 0.9716 - val_recall: 0.1502 - val_precision: 1.0000\n",
            "Epoch 354/500\n",
            "69/69 - 26s - loss: 1.7060 - accuracy: 0.7240 - auc: 0.9801 - recall: 0.1284 - precision: 1.0000 - val_loss: 1.7701 - val_accuracy: 0.7129 - val_auc: 0.9716 - val_recall: 0.1502 - val_precision: 1.0000\n",
            "Epoch 355/500\n",
            "69/69 - 26s - loss: 1.6891 - accuracy: 0.7441 - auc: 0.9827 - recall: 0.1343 - precision: 1.0000 - val_loss: 1.7680 - val_accuracy: 0.7129 - val_auc: 0.9716 - val_recall: 0.1502 - val_precision: 1.0000\n",
            "Epoch 356/500\n",
            "69/69 - 26s - loss: 1.6906 - accuracy: 0.7464 - auc: 0.9832 - recall: 0.1257 - precision: 1.0000 - val_loss: 1.7660 - val_accuracy: 0.7110 - val_auc: 0.9718 - val_recall: 0.1502 - val_precision: 1.0000\n",
            "Epoch 357/500\n",
            "69/69 - 26s - loss: 1.6788 - accuracy: 0.7404 - auc: 0.9827 - recall: 0.1311 - precision: 1.0000 - val_loss: 1.7638 - val_accuracy: 0.7129 - val_auc: 0.9717 - val_recall: 0.1540 - val_precision: 1.0000\n",
            "Epoch 358/500\n",
            "69/69 - 26s - loss: 1.7086 - accuracy: 0.7350 - auc: 0.9797 - recall: 0.1321 - precision: 1.0000 - val_loss: 1.7617 - val_accuracy: 0.7129 - val_auc: 0.9717 - val_recall: 0.1559 - val_precision: 1.0000\n",
            "Epoch 359/500\n",
            "69/69 - 26s - loss: 1.7066 - accuracy: 0.7268 - auc: 0.9808 - recall: 0.1357 - precision: 1.0000 - val_loss: 1.7597 - val_accuracy: 0.7110 - val_auc: 0.9719 - val_recall: 0.1578 - val_precision: 1.0000\n",
            "Epoch 360/500\n",
            "69/69 - 26s - loss: 1.7008 - accuracy: 0.7322 - auc: 0.9821 - recall: 0.1280 - precision: 1.0000 - val_loss: 1.7576 - val_accuracy: 0.7110 - val_auc: 0.9716 - val_recall: 0.1578 - val_precision: 1.0000\n",
            "Epoch 361/500\n",
            "69/69 - 26s - loss: 1.6802 - accuracy: 0.7432 - auc: 0.9820 - recall: 0.1289 - precision: 1.0000 - val_loss: 1.7558 - val_accuracy: 0.7129 - val_auc: 0.9711 - val_recall: 0.1616 - val_precision: 1.0000\n",
            "Epoch 362/500\n",
            "69/69 - 26s - loss: 1.6837 - accuracy: 0.7432 - auc: 0.9824 - recall: 0.1334 - precision: 1.0000 - val_loss: 1.7540 - val_accuracy: 0.7129 - val_auc: 0.9712 - val_recall: 0.1616 - val_precision: 1.0000\n",
            "Epoch 363/500\n",
            "69/69 - 26s - loss: 1.6853 - accuracy: 0.7514 - auc: 0.9821 - recall: 0.1302 - precision: 1.0000 - val_loss: 1.7521 - val_accuracy: 0.7110 - val_auc: 0.9712 - val_recall: 0.1616 - val_precision: 1.0000\n",
            "Epoch 364/500\n",
            "69/69 - 26s - loss: 1.6896 - accuracy: 0.7423 - auc: 0.9810 - recall: 0.1352 - precision: 1.0000 - val_loss: 1.7499 - val_accuracy: 0.7091 - val_auc: 0.9711 - val_recall: 0.1616 - val_precision: 1.0000\n",
            "Epoch 365/500\n",
            "69/69 - 26s - loss: 1.6814 - accuracy: 0.7464 - auc: 0.9820 - recall: 0.1380 - precision: 1.0000 - val_loss: 1.7481 - val_accuracy: 0.7129 - val_auc: 0.9712 - val_recall: 0.1616 - val_precision: 1.0000\n",
            "Epoch 366/500\n",
            "69/69 - 26s - loss: 1.6893 - accuracy: 0.7418 - auc: 0.9817 - recall: 0.1307 - precision: 1.0000 - val_loss: 1.7461 - val_accuracy: 0.7110 - val_auc: 0.9712 - val_recall: 0.1616 - val_precision: 1.0000\n",
            "Epoch 367/500\n",
            "69/69 - 26s - loss: 1.6555 - accuracy: 0.7445 - auc: 0.9824 - recall: 0.1412 - precision: 1.0000 - val_loss: 1.7438 - val_accuracy: 0.7129 - val_auc: 0.9712 - val_recall: 0.1616 - val_precision: 1.0000\n",
            "Epoch 368/500\n",
            "69/69 - 26s - loss: 1.6807 - accuracy: 0.7477 - auc: 0.9813 - recall: 0.1357 - precision: 1.0000 - val_loss: 1.7419 - val_accuracy: 0.7129 - val_auc: 0.9713 - val_recall: 0.1616 - val_precision: 1.0000\n",
            "Epoch 369/500\n",
            "69/69 - 26s - loss: 1.6863 - accuracy: 0.7404 - auc: 0.9813 - recall: 0.1430 - precision: 1.0000 - val_loss: 1.7401 - val_accuracy: 0.7148 - val_auc: 0.9710 - val_recall: 0.1635 - val_precision: 1.0000\n",
            "Epoch 370/500\n",
            "69/69 - 26s - loss: 1.6716 - accuracy: 0.7432 - auc: 0.9819 - recall: 0.1352 - precision: 1.0000 - val_loss: 1.7380 - val_accuracy: 0.7129 - val_auc: 0.9710 - val_recall: 0.1654 - val_precision: 1.0000\n",
            "Epoch 371/500\n",
            "69/69 - 26s - loss: 1.6598 - accuracy: 0.7518 - auc: 0.9826 - recall: 0.1362 - precision: 1.0000 - val_loss: 1.7363 - val_accuracy: 0.7129 - val_auc: 0.9717 - val_recall: 0.1673 - val_precision: 1.0000\n",
            "Epoch 372/500\n",
            "69/69 - 26s - loss: 1.6539 - accuracy: 0.7564 - auc: 0.9834 - recall: 0.1366 - precision: 1.0000 - val_loss: 1.7344 - val_accuracy: 0.7148 - val_auc: 0.9717 - val_recall: 0.1673 - val_precision: 1.0000\n",
            "Epoch 373/500\n",
            "69/69 - 26s - loss: 1.6526 - accuracy: 0.7473 - auc: 0.9827 - recall: 0.1412 - precision: 1.0000 - val_loss: 1.7325 - val_accuracy: 0.7148 - val_auc: 0.9717 - val_recall: 0.1692 - val_precision: 1.0000\n",
            "Epoch 374/500\n",
            "69/69 - 26s - loss: 1.6582 - accuracy: 0.7459 - auc: 0.9824 - recall: 0.1466 - precision: 1.0000 - val_loss: 1.7303 - val_accuracy: 0.7167 - val_auc: 0.9697 - val_recall: 0.1692 - val_precision: 1.0000\n",
            "Epoch 375/500\n",
            "69/69 - 26s - loss: 1.6683 - accuracy: 0.7486 - auc: 0.9821 - recall: 0.1393 - precision: 1.0000 - val_loss: 1.7284 - val_accuracy: 0.7167 - val_auc: 0.9698 - val_recall: 0.1673 - val_precision: 1.0000\n",
            "Epoch 376/500\n",
            "69/69 - 27s - loss: 1.6572 - accuracy: 0.7400 - auc: 0.9825 - recall: 0.1494 - precision: 1.0000 - val_loss: 1.7269 - val_accuracy: 0.7167 - val_auc: 0.9698 - val_recall: 0.1711 - val_precision: 1.0000\n",
            "Epoch 377/500\n",
            "69/69 - 27s - loss: 1.6557 - accuracy: 0.7409 - auc: 0.9826 - recall: 0.1503 - precision: 1.0000 - val_loss: 1.7250 - val_accuracy: 0.7129 - val_auc: 0.9694 - val_recall: 0.1692 - val_precision: 1.0000\n",
            "Epoch 378/500\n",
            "69/69 - 26s - loss: 1.6600 - accuracy: 0.7468 - auc: 0.9819 - recall: 0.1489 - precision: 1.0000 - val_loss: 1.7232 - val_accuracy: 0.7110 - val_auc: 0.9696 - val_recall: 0.1711 - val_precision: 1.0000\n",
            "Epoch 379/500\n",
            "69/69 - 26s - loss: 1.6410 - accuracy: 0.7527 - auc: 0.9832 - recall: 0.1457 - precision: 1.0000 - val_loss: 1.7216 - val_accuracy: 0.7148 - val_auc: 0.9700 - val_recall: 0.1692 - val_precision: 1.0000\n",
            "Epoch 380/500\n",
            "69/69 - 26s - loss: 1.6289 - accuracy: 0.7559 - auc: 0.9833 - recall: 0.1462 - precision: 1.0000 - val_loss: 1.7195 - val_accuracy: 0.7186 - val_auc: 0.9703 - val_recall: 0.1749 - val_precision: 1.0000\n",
            "Epoch 381/500\n",
            "69/69 - 27s - loss: 1.6464 - accuracy: 0.7477 - auc: 0.9818 - recall: 0.1462 - precision: 1.0000 - val_loss: 1.7177 - val_accuracy: 0.7167 - val_auc: 0.9701 - val_recall: 0.1768 - val_precision: 1.0000\n",
            "Epoch 382/500\n",
            "69/69 - 27s - loss: 1.6595 - accuracy: 0.7464 - auc: 0.9805 - recall: 0.1425 - precision: 1.0000 - val_loss: 1.7160 - val_accuracy: 0.7148 - val_auc: 0.9701 - val_recall: 0.1768 - val_precision: 1.0000\n",
            "Epoch 383/500\n",
            "69/69 - 26s - loss: 1.6462 - accuracy: 0.7450 - auc: 0.9826 - recall: 0.1494 - precision: 1.0000 - val_loss: 1.7138 - val_accuracy: 0.7205 - val_auc: 0.9701 - val_recall: 0.1749 - val_precision: 1.0000\n",
            "Epoch 384/500\n",
            "69/69 - 26s - loss: 1.6420 - accuracy: 0.7432 - auc: 0.9826 - recall: 0.1489 - precision: 1.0000 - val_loss: 1.7123 - val_accuracy: 0.7186 - val_auc: 0.9701 - val_recall: 0.1730 - val_precision: 1.0000\n",
            "Epoch 385/500\n",
            "69/69 - 27s - loss: 1.6267 - accuracy: 0.7523 - auc: 0.9835 - recall: 0.1507 - precision: 1.0000 - val_loss: 1.7107 - val_accuracy: 0.7205 - val_auc: 0.9701 - val_recall: 0.1730 - val_precision: 1.0000\n",
            "Epoch 386/500\n",
            "69/69 - 26s - loss: 1.6281 - accuracy: 0.7659 - auc: 0.9832 - recall: 0.1457 - precision: 1.0000 - val_loss: 1.7085 - val_accuracy: 0.7205 - val_auc: 0.9702 - val_recall: 0.1749 - val_precision: 1.0000\n",
            "Epoch 387/500\n",
            "69/69 - 27s - loss: 1.6340 - accuracy: 0.7614 - auc: 0.9826 - recall: 0.1516 - precision: 1.0000 - val_loss: 1.7067 - val_accuracy: 0.7205 - val_auc: 0.9702 - val_recall: 0.1749 - val_precision: 1.0000\n",
            "Epoch 388/500\n",
            "69/69 - 26s - loss: 1.6290 - accuracy: 0.7509 - auc: 0.9830 - recall: 0.1412 - precision: 1.0000 - val_loss: 1.7048 - val_accuracy: 0.7205 - val_auc: 0.9703 - val_recall: 0.1787 - val_precision: 1.0000\n",
            "Epoch 389/500\n",
            "69/69 - 26s - loss: 1.6231 - accuracy: 0.7559 - auc: 0.9842 - recall: 0.1434 - precision: 1.0000 - val_loss: 1.7028 - val_accuracy: 0.7167 - val_auc: 0.9703 - val_recall: 0.1787 - val_precision: 1.0000\n",
            "Epoch 390/500\n",
            "69/69 - 26s - loss: 1.6284 - accuracy: 0.7514 - auc: 0.9828 - recall: 0.1485 - precision: 1.0000 - val_loss: 1.7009 - val_accuracy: 0.7167 - val_auc: 0.9705 - val_recall: 0.1806 - val_precision: 1.0000\n",
            "Epoch 391/500\n",
            "69/69 - 26s - loss: 1.6277 - accuracy: 0.7505 - auc: 0.9811 - recall: 0.1589 - precision: 1.0000 - val_loss: 1.6990 - val_accuracy: 0.7205 - val_auc: 0.9706 - val_recall: 0.1806 - val_precision: 1.0000\n",
            "Epoch 392/500\n",
            "69/69 - 26s - loss: 1.6363 - accuracy: 0.7532 - auc: 0.9814 - recall: 0.1566 - precision: 1.0000 - val_loss: 1.6970 - val_accuracy: 0.7205 - val_auc: 0.9705 - val_recall: 0.1806 - val_precision: 1.0000\n",
            "Epoch 393/500\n",
            "69/69 - 26s - loss: 1.6321 - accuracy: 0.7464 - auc: 0.9809 - recall: 0.1598 - precision: 1.0000 - val_loss: 1.6951 - val_accuracy: 0.7186 - val_auc: 0.9705 - val_recall: 0.1844 - val_precision: 1.0000\n",
            "Epoch 394/500\n",
            "69/69 - 26s - loss: 1.6259 - accuracy: 0.7427 - auc: 0.9820 - recall: 0.1471 - precision: 1.0000 - val_loss: 1.6932 - val_accuracy: 0.7224 - val_auc: 0.9706 - val_recall: 0.1844 - val_precision: 1.0000\n",
            "Epoch 395/500\n",
            "69/69 - 26s - loss: 1.6138 - accuracy: 0.7564 - auc: 0.9843 - recall: 0.1644 - precision: 1.0000 - val_loss: 1.6912 - val_accuracy: 0.7224 - val_auc: 0.9706 - val_recall: 0.1863 - val_precision: 1.0000\n",
            "Epoch 396/500\n",
            "69/69 - 27s - loss: 1.6020 - accuracy: 0.7609 - auc: 0.9832 - recall: 0.1589 - precision: 1.0000 - val_loss: 1.6896 - val_accuracy: 0.7224 - val_auc: 0.9707 - val_recall: 0.1920 - val_precision: 1.0000\n",
            "Epoch 397/500\n",
            "69/69 - 26s - loss: 1.6238 - accuracy: 0.7491 - auc: 0.9825 - recall: 0.1571 - precision: 1.0000 - val_loss: 1.6873 - val_accuracy: 0.7224 - val_auc: 0.9706 - val_recall: 0.1920 - val_precision: 1.0000\n",
            "Epoch 398/500\n",
            "69/69 - 26s - loss: 1.5997 - accuracy: 0.7550 - auc: 0.9832 - recall: 0.1667 - precision: 1.0000 - val_loss: 1.6861 - val_accuracy: 0.7224 - val_auc: 0.9706 - val_recall: 0.1939 - val_precision: 1.0000\n",
            "Epoch 399/500\n",
            "69/69 - 26s - loss: 1.6204 - accuracy: 0.7468 - auc: 0.9828 - recall: 0.1576 - precision: 1.0000 - val_loss: 1.6845 - val_accuracy: 0.7224 - val_auc: 0.9707 - val_recall: 0.1920 - val_precision: 1.0000\n",
            "Epoch 400/500\n",
            "69/69 - 26s - loss: 1.6183 - accuracy: 0.7564 - auc: 0.9809 - recall: 0.1653 - precision: 1.0000 - val_loss: 1.6828 - val_accuracy: 0.7224 - val_auc: 0.9706 - val_recall: 0.1939 - val_precision: 1.0000\n",
            "Epoch 401/500\n",
            "69/69 - 26s - loss: 1.5959 - accuracy: 0.7587 - auc: 0.9833 - recall: 0.1744 - precision: 1.0000 - val_loss: 1.6812 - val_accuracy: 0.7224 - val_auc: 0.9707 - val_recall: 0.1939 - val_precision: 1.0000\n",
            "Epoch 402/500\n",
            "69/69 - 26s - loss: 1.6005 - accuracy: 0.7536 - auc: 0.9826 - recall: 0.1721 - precision: 1.0000 - val_loss: 1.6798 - val_accuracy: 0.7224 - val_auc: 0.9707 - val_recall: 0.1939 - val_precision: 1.0000\n",
            "Epoch 403/500\n",
            "69/69 - 27s - loss: 1.6148 - accuracy: 0.7454 - auc: 0.9817 - recall: 0.1680 - precision: 1.0000 - val_loss: 1.6782 - val_accuracy: 0.7243 - val_auc: 0.9707 - val_recall: 0.1939 - val_precision: 1.0000\n",
            "Epoch 404/500\n",
            "69/69 - 26s - loss: 1.5970 - accuracy: 0.7477 - auc: 0.9827 - recall: 0.1694 - precision: 1.0000 - val_loss: 1.6765 - val_accuracy: 0.7243 - val_auc: 0.9707 - val_recall: 0.1939 - val_precision: 1.0000\n",
            "Epoch 405/500\n",
            "69/69 - 26s - loss: 1.6083 - accuracy: 0.7536 - auc: 0.9814 - recall: 0.1617 - precision: 1.0000 - val_loss: 1.6745 - val_accuracy: 0.7281 - val_auc: 0.9706 - val_recall: 0.1958 - val_precision: 1.0000\n",
            "Epoch 406/500\n",
            "69/69 - 26s - loss: 1.5899 - accuracy: 0.7509 - auc: 0.9842 - recall: 0.1762 - precision: 1.0000 - val_loss: 1.6724 - val_accuracy: 0.7281 - val_auc: 0.9709 - val_recall: 0.1977 - val_precision: 1.0000\n",
            "Epoch 407/500\n",
            "69/69 - 26s - loss: 1.6150 - accuracy: 0.7477 - auc: 0.9822 - recall: 0.1667 - precision: 1.0000 - val_loss: 1.6706 - val_accuracy: 0.7262 - val_auc: 0.9709 - val_recall: 0.1977 - val_precision: 1.0000\n",
            "Epoch 408/500\n",
            "69/69 - 26s - loss: 1.5840 - accuracy: 0.7623 - auc: 0.9826 - recall: 0.1803 - precision: 1.0000 - val_loss: 1.6694 - val_accuracy: 0.7243 - val_auc: 0.9709 - val_recall: 0.1977 - val_precision: 1.0000\n",
            "Epoch 409/500\n",
            "69/69 - 26s - loss: 1.5865 - accuracy: 0.7696 - auc: 0.9833 - recall: 0.1671 - precision: 1.0000 - val_loss: 1.6680 - val_accuracy: 0.7281 - val_auc: 0.9709 - val_recall: 0.1977 - val_precision: 1.0000\n",
            "Epoch 410/500\n",
            "69/69 - 26s - loss: 1.5974 - accuracy: 0.7573 - auc: 0.9830 - recall: 0.1730 - precision: 1.0000 - val_loss: 1.6664 - val_accuracy: 0.7262 - val_auc: 0.9710 - val_recall: 0.1977 - val_precision: 1.0000\n",
            "Epoch 411/500\n",
            "69/69 - 26s - loss: 1.5952 - accuracy: 0.7523 - auc: 0.9819 - recall: 0.1721 - precision: 1.0000 - val_loss: 1.6650 - val_accuracy: 0.7262 - val_auc: 0.9710 - val_recall: 0.1977 - val_precision: 1.0000\n",
            "Epoch 412/500\n",
            "69/69 - 26s - loss: 1.5820 - accuracy: 0.7632 - auc: 0.9821 - recall: 0.1699 - precision: 1.0000 - val_loss: 1.6632 - val_accuracy: 0.7262 - val_auc: 0.9710 - val_recall: 0.1996 - val_precision: 1.0000\n",
            "Epoch 413/500\n",
            "69/69 - 26s - loss: 1.5808 - accuracy: 0.7673 - auc: 0.9825 - recall: 0.1767 - precision: 1.0000 - val_loss: 1.6615 - val_accuracy: 0.7262 - val_auc: 0.9711 - val_recall: 0.1996 - val_precision: 1.0000\n",
            "Epoch 414/500\n",
            "69/69 - 26s - loss: 1.5825 - accuracy: 0.7623 - auc: 0.9821 - recall: 0.1790 - precision: 1.0000 - val_loss: 1.6595 - val_accuracy: 0.7281 - val_auc: 0.9711 - val_recall: 0.1996 - val_precision: 1.0000\n",
            "Epoch 415/500\n",
            "69/69 - 26s - loss: 1.5718 - accuracy: 0.7623 - auc: 0.9837 - recall: 0.1721 - precision: 1.0000 - val_loss: 1.6582 - val_accuracy: 0.7243 - val_auc: 0.9712 - val_recall: 0.1996 - val_precision: 1.0000\n",
            "Epoch 416/500\n",
            "69/69 - 26s - loss: 1.5751 - accuracy: 0.7514 - auc: 0.9828 - recall: 0.1840 - precision: 1.0000 - val_loss: 1.6565 - val_accuracy: 0.7281 - val_auc: 0.9712 - val_recall: 0.2015 - val_precision: 1.0000\n",
            "Epoch 417/500\n",
            "69/69 - 26s - loss: 1.5692 - accuracy: 0.7564 - auc: 0.9838 - recall: 0.1817 - precision: 1.0000 - val_loss: 1.6550 - val_accuracy: 0.7300 - val_auc: 0.9712 - val_recall: 0.2015 - val_precision: 1.0000\n",
            "Epoch 418/500\n",
            "69/69 - 26s - loss: 1.5683 - accuracy: 0.7700 - auc: 0.9828 - recall: 0.1781 - precision: 1.0000 - val_loss: 1.6532 - val_accuracy: 0.7300 - val_auc: 0.9714 - val_recall: 0.2015 - val_precision: 1.0000\n",
            "Epoch 419/500\n",
            "69/69 - 26s - loss: 1.5621 - accuracy: 0.7600 - auc: 0.9836 - recall: 0.1767 - precision: 1.0000 - val_loss: 1.6514 - val_accuracy: 0.7300 - val_auc: 0.9714 - val_recall: 0.2053 - val_precision: 1.0000\n",
            "Epoch 420/500\n",
            "69/69 - 26s - loss: 1.5693 - accuracy: 0.7632 - auc: 0.9834 - recall: 0.1853 - precision: 1.0000 - val_loss: 1.6494 - val_accuracy: 0.7300 - val_auc: 0.9715 - val_recall: 0.2015 - val_precision: 1.0000\n",
            "Epoch 421/500\n",
            "69/69 - 26s - loss: 1.5659 - accuracy: 0.7632 - auc: 0.9826 - recall: 0.1821 - precision: 1.0000 - val_loss: 1.6480 - val_accuracy: 0.7300 - val_auc: 0.9715 - val_recall: 0.2034 - val_precision: 1.0000\n",
            "Epoch 422/500\n",
            "69/69 - 26s - loss: 1.5587 - accuracy: 0.7623 - auc: 0.9835 - recall: 0.1908 - precision: 1.0000 - val_loss: 1.6459 - val_accuracy: 0.7300 - val_auc: 0.9715 - val_recall: 0.2053 - val_precision: 1.0000\n",
            "Epoch 423/500\n",
            "69/69 - 26s - loss: 1.5612 - accuracy: 0.7527 - auc: 0.9837 - recall: 0.1817 - precision: 1.0000 - val_loss: 1.6440 - val_accuracy: 0.7319 - val_auc: 0.9714 - val_recall: 0.2053 - val_precision: 1.0000\n",
            "Epoch 424/500\n",
            "69/69 - 26s - loss: 1.5775 - accuracy: 0.7600 - auc: 0.9826 - recall: 0.1826 - precision: 1.0000 - val_loss: 1.6421 - val_accuracy: 0.7338 - val_auc: 0.9716 - val_recall: 0.2072 - val_precision: 1.0000\n",
            "Epoch 425/500\n",
            "69/69 - 26s - loss: 1.5610 - accuracy: 0.7582 - auc: 0.9819 - recall: 0.1908 - precision: 1.0000 - val_loss: 1.6402 - val_accuracy: 0.7338 - val_auc: 0.9716 - val_recall: 0.2072 - val_precision: 1.0000\n",
            "Epoch 426/500\n",
            "69/69 - 26s - loss: 1.5577 - accuracy: 0.7591 - auc: 0.9831 - recall: 0.1799 - precision: 1.0000 - val_loss: 1.6381 - val_accuracy: 0.7357 - val_auc: 0.9717 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 427/500\n",
            "69/69 - 26s - loss: 1.5468 - accuracy: 0.7668 - auc: 0.9845 - recall: 0.1867 - precision: 1.0000 - val_loss: 1.6365 - val_accuracy: 0.7357 - val_auc: 0.9718 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 428/500\n",
            "69/69 - 26s - loss: 1.5584 - accuracy: 0.7637 - auc: 0.9844 - recall: 0.1872 - precision: 1.0000 - val_loss: 1.6346 - val_accuracy: 0.7338 - val_auc: 0.9718 - val_recall: 0.2072 - val_precision: 1.0000\n",
            "Epoch 429/500\n",
            "69/69 - 26s - loss: 1.5548 - accuracy: 0.7618 - auc: 0.9833 - recall: 0.1899 - precision: 1.0000 - val_loss: 1.6326 - val_accuracy: 0.7357 - val_auc: 0.9719 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 430/500\n",
            "69/69 - 26s - loss: 1.5380 - accuracy: 0.7696 - auc: 0.9850 - recall: 0.1835 - precision: 1.0000 - val_loss: 1.6310 - val_accuracy: 0.7357 - val_auc: 0.9718 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 431/500\n",
            "69/69 - 26s - loss: 1.5515 - accuracy: 0.7641 - auc: 0.9830 - recall: 0.1881 - precision: 1.0000 - val_loss: 1.6290 - val_accuracy: 0.7357 - val_auc: 0.9720 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 432/500\n",
            "69/69 - 27s - loss: 1.5347 - accuracy: 0.7568 - auc: 0.9849 - recall: 0.1954 - precision: 1.0000 - val_loss: 1.6274 - val_accuracy: 0.7357 - val_auc: 0.9720 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 433/500\n",
            "69/69 - 27s - loss: 1.5384 - accuracy: 0.7723 - auc: 0.9834 - recall: 0.1999 - precision: 1.0000 - val_loss: 1.6256 - val_accuracy: 0.7357 - val_auc: 0.9721 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 434/500\n",
            "69/69 - 27s - loss: 1.5240 - accuracy: 0.7705 - auc: 0.9855 - recall: 0.1999 - precision: 1.0000 - val_loss: 1.6240 - val_accuracy: 0.7357 - val_auc: 0.9721 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 435/500\n",
            "69/69 - 27s - loss: 1.5403 - accuracy: 0.7773 - auc: 0.9830 - recall: 0.1949 - precision: 1.0000 - val_loss: 1.6221 - val_accuracy: 0.7376 - val_auc: 0.9720 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 436/500\n",
            "69/69 - 27s - loss: 1.5380 - accuracy: 0.7709 - auc: 0.9831 - recall: 0.1981 - precision: 1.0000 - val_loss: 1.6204 - val_accuracy: 0.7376 - val_auc: 0.9720 - val_recall: 0.2091 - val_precision: 1.0000\n",
            "Epoch 437/500\n",
            "69/69 - 26s - loss: 1.5408 - accuracy: 0.7673 - auc: 0.9824 - recall: 0.1985 - precision: 1.0000 - val_loss: 1.6187 - val_accuracy: 0.7376 - val_auc: 0.9721 - val_recall: 0.2129 - val_precision: 1.0000\n",
            "Epoch 438/500\n",
            "69/69 - 26s - loss: 1.5384 - accuracy: 0.7646 - auc: 0.9852 - recall: 0.1963 - precision: 1.0000 - val_loss: 1.6172 - val_accuracy: 0.7376 - val_auc: 0.9722 - val_recall: 0.2167 - val_precision: 1.0000\n",
            "Epoch 439/500\n",
            "69/69 - 27s - loss: 1.5428 - accuracy: 0.7623 - auc: 0.9822 - recall: 0.2017 - precision: 1.0000 - val_loss: 1.6149 - val_accuracy: 0.7376 - val_auc: 0.9721 - val_recall: 0.2167 - val_precision: 1.0000\n",
            "Epoch 440/500\n",
            "69/69 - 27s - loss: 1.5355 - accuracy: 0.7650 - auc: 0.9833 - recall: 0.2086 - precision: 1.0000 - val_loss: 1.6135 - val_accuracy: 0.7376 - val_auc: 0.9723 - val_recall: 0.2186 - val_precision: 1.0000\n",
            "Epoch 441/500\n",
            "69/69 - 26s - loss: 1.5236 - accuracy: 0.7641 - auc: 0.9852 - recall: 0.2036 - precision: 1.0000 - val_loss: 1.6118 - val_accuracy: 0.7395 - val_auc: 0.9722 - val_recall: 0.2186 - val_precision: 1.0000\n",
            "Epoch 442/500\n",
            "69/69 - 26s - loss: 1.5287 - accuracy: 0.7700 - auc: 0.9841 - recall: 0.2067 - precision: 1.0000 - val_loss: 1.6099 - val_accuracy: 0.7395 - val_auc: 0.9723 - val_recall: 0.2186 - val_precision: 1.0000\n",
            "Epoch 443/500\n",
            "69/69 - 26s - loss: 1.5217 - accuracy: 0.7700 - auc: 0.9842 - recall: 0.2017 - precision: 1.0000 - val_loss: 1.6089 - val_accuracy: 0.7376 - val_auc: 0.9724 - val_recall: 0.2205 - val_precision: 1.0000\n",
            "Epoch 444/500\n",
            "69/69 - 26s - loss: 1.5269 - accuracy: 0.7646 - auc: 0.9837 - recall: 0.2127 - precision: 1.0000 - val_loss: 1.6069 - val_accuracy: 0.7395 - val_auc: 0.9724 - val_recall: 0.2224 - val_precision: 1.0000\n",
            "Epoch 445/500\n",
            "69/69 - 27s - loss: 1.5160 - accuracy: 0.7746 - auc: 0.9839 - recall: 0.2204 - precision: 1.0000 - val_loss: 1.6055 - val_accuracy: 0.7395 - val_auc: 0.9724 - val_recall: 0.2224 - val_precision: 1.0000\n",
            "Epoch 446/500\n",
            "69/69 - 26s - loss: 1.5323 - accuracy: 0.7628 - auc: 0.9836 - recall: 0.2045 - precision: 1.0000 - val_loss: 1.6039 - val_accuracy: 0.7395 - val_auc: 0.9723 - val_recall: 0.2224 - val_precision: 1.0000\n",
            "Epoch 447/500\n",
            "69/69 - 26s - loss: 1.5233 - accuracy: 0.7614 - auc: 0.9841 - recall: 0.2058 - precision: 1.0000 - val_loss: 1.6023 - val_accuracy: 0.7376 - val_auc: 0.9725 - val_recall: 0.2224 - val_precision: 1.0000\n",
            "Epoch 448/500\n",
            "69/69 - 26s - loss: 1.5008 - accuracy: 0.7696 - auc: 0.9851 - recall: 0.2181 - precision: 1.0000 - val_loss: 1.6008 - val_accuracy: 0.7395 - val_auc: 0.9724 - val_recall: 0.2224 - val_precision: 1.0000\n",
            "Epoch 449/500\n",
            "69/69 - 26s - loss: 1.5131 - accuracy: 0.7668 - auc: 0.9844 - recall: 0.2172 - precision: 1.0000 - val_loss: 1.5990 - val_accuracy: 0.7376 - val_auc: 0.9724 - val_recall: 0.2224 - val_precision: 1.0000\n",
            "Epoch 450/500\n",
            "69/69 - 26s - loss: 1.5248 - accuracy: 0.7687 - auc: 0.9824 - recall: 0.2177 - precision: 1.0000 - val_loss: 1.5973 - val_accuracy: 0.7433 - val_auc: 0.9725 - val_recall: 0.2243 - val_precision: 1.0000\n",
            "Epoch 451/500\n",
            "69/69 - 27s - loss: 1.5050 - accuracy: 0.7700 - auc: 0.9841 - recall: 0.2113 - precision: 1.0000 - val_loss: 1.5952 - val_accuracy: 0.7414 - val_auc: 0.9725 - val_recall: 0.2224 - val_precision: 1.0000\n",
            "Epoch 452/500\n",
            "69/69 - 26s - loss: 1.5130 - accuracy: 0.7723 - auc: 0.9838 - recall: 0.2163 - precision: 1.0000 - val_loss: 1.5934 - val_accuracy: 0.7414 - val_auc: 0.9725 - val_recall: 0.2281 - val_precision: 1.0000\n",
            "Epoch 453/500\n",
            "69/69 - 26s - loss: 1.5048 - accuracy: 0.7723 - auc: 0.9840 - recall: 0.2122 - precision: 1.0000 - val_loss: 1.5919 - val_accuracy: 0.7414 - val_auc: 0.9725 - val_recall: 0.2262 - val_precision: 1.0000\n",
            "Epoch 454/500\n",
            "69/69 - 27s - loss: 1.5173 - accuracy: 0.7682 - auc: 0.9823 - recall: 0.2186 - precision: 1.0000 - val_loss: 1.5901 - val_accuracy: 0.7414 - val_auc: 0.9726 - val_recall: 0.2281 - val_precision: 1.0000\n",
            "Epoch 455/500\n",
            "69/69 - 26s - loss: 1.5025 - accuracy: 0.7750 - auc: 0.9842 - recall: 0.2195 - precision: 1.0000 - val_loss: 1.5885 - val_accuracy: 0.7414 - val_auc: 0.9727 - val_recall: 0.2319 - val_precision: 1.0000\n",
            "Epoch 456/500\n",
            "69/69 - 27s - loss: 1.5107 - accuracy: 0.7650 - auc: 0.9833 - recall: 0.2236 - precision: 1.0000 - val_loss: 1.5867 - val_accuracy: 0.7414 - val_auc: 0.9728 - val_recall: 0.2319 - val_precision: 1.0000\n",
            "Epoch 457/500\n",
            "69/69 - 27s - loss: 1.4953 - accuracy: 0.7678 - auc: 0.9850 - recall: 0.2186 - precision: 1.0000 - val_loss: 1.5850 - val_accuracy: 0.7414 - val_auc: 0.9728 - val_recall: 0.2338 - val_precision: 1.0000\n",
            "Epoch 458/500\n",
            "69/69 - 27s - loss: 1.5045 - accuracy: 0.7782 - auc: 0.9847 - recall: 0.2181 - precision: 1.0000 - val_loss: 1.5826 - val_accuracy: 0.7433 - val_auc: 0.9728 - val_recall: 0.2319 - val_precision: 1.0000\n",
            "Epoch 459/500\n",
            "69/69 - 26s - loss: 1.4786 - accuracy: 0.7796 - auc: 0.9845 - recall: 0.2341 - precision: 1.0000 - val_loss: 1.5809 - val_accuracy: 0.7414 - val_auc: 0.9729 - val_recall: 0.2319 - val_precision: 1.0000\n",
            "Epoch 460/500\n",
            "69/69 - 26s - loss: 1.4946 - accuracy: 0.7714 - auc: 0.9835 - recall: 0.2482 - precision: 1.0000 - val_loss: 1.5793 - val_accuracy: 0.7471 - val_auc: 0.9729 - val_recall: 0.2357 - val_precision: 1.0000\n",
            "Epoch 461/500\n",
            "69/69 - 26s - loss: 1.4798 - accuracy: 0.7760 - auc: 0.9847 - recall: 0.2277 - precision: 1.0000 - val_loss: 1.5777 - val_accuracy: 0.7452 - val_auc: 0.9729 - val_recall: 0.2357 - val_precision: 1.0000\n",
            "Epoch 462/500\n",
            "69/69 - 27s - loss: 1.4774 - accuracy: 0.7746 - auc: 0.9846 - recall: 0.2354 - precision: 1.0000 - val_loss: 1.5758 - val_accuracy: 0.7452 - val_auc: 0.9728 - val_recall: 0.2338 - val_precision: 1.0000\n",
            "Epoch 463/500\n",
            "69/69 - 26s - loss: 1.5022 - accuracy: 0.7737 - auc: 0.9834 - recall: 0.2240 - precision: 1.0000 - val_loss: 1.5740 - val_accuracy: 0.7471 - val_auc: 0.9729 - val_recall: 0.2376 - val_precision: 1.0000\n",
            "Epoch 464/500\n",
            "69/69 - 26s - loss: 1.4916 - accuracy: 0.7728 - auc: 0.9838 - recall: 0.2281 - precision: 1.0000 - val_loss: 1.5726 - val_accuracy: 0.7490 - val_auc: 0.9729 - val_recall: 0.2395 - val_precision: 1.0000\n",
            "Epoch 465/500\n",
            "69/69 - 27s - loss: 1.4824 - accuracy: 0.7728 - auc: 0.9831 - recall: 0.2345 - precision: 1.0000 - val_loss: 1.5710 - val_accuracy: 0.7471 - val_auc: 0.9730 - val_recall: 0.2414 - val_precision: 1.0000\n",
            "Epoch 466/500\n",
            "69/69 - 26s - loss: 1.5010 - accuracy: 0.7682 - auc: 0.9825 - recall: 0.2277 - precision: 1.0000 - val_loss: 1.5692 - val_accuracy: 0.7490 - val_auc: 0.9730 - val_recall: 0.2414 - val_precision: 1.0000\n",
            "Epoch 467/500\n",
            "69/69 - 27s - loss: 1.4737 - accuracy: 0.7741 - auc: 0.9848 - recall: 0.2395 - precision: 1.0000 - val_loss: 1.5678 - val_accuracy: 0.7510 - val_auc: 0.9731 - val_recall: 0.2414 - val_precision: 1.0000\n",
            "Epoch 468/500\n",
            "69/69 - 27s - loss: 1.4779 - accuracy: 0.7760 - auc: 0.9831 - recall: 0.2486 - precision: 1.0000 - val_loss: 1.5661 - val_accuracy: 0.7529 - val_auc: 0.9731 - val_recall: 0.2433 - val_precision: 1.0000\n",
            "Epoch 469/500\n",
            "69/69 - 27s - loss: 1.4870 - accuracy: 0.7700 - auc: 0.9843 - recall: 0.2404 - precision: 1.0000 - val_loss: 1.5647 - val_accuracy: 0.7510 - val_auc: 0.9732 - val_recall: 0.2433 - val_precision: 1.0000\n",
            "Epoch 470/500\n",
            "69/69 - 26s - loss: 1.4736 - accuracy: 0.7709 - auc: 0.9837 - recall: 0.2473 - precision: 1.0000 - val_loss: 1.5630 - val_accuracy: 0.7490 - val_auc: 0.9732 - val_recall: 0.2433 - val_precision: 1.0000\n",
            "Epoch 471/500\n",
            "69/69 - 26s - loss: 1.4609 - accuracy: 0.7814 - auc: 0.9855 - recall: 0.2368 - precision: 1.0000 - val_loss: 1.5615 - val_accuracy: 0.7471 - val_auc: 0.9732 - val_recall: 0.2433 - val_precision: 1.0000\n",
            "Epoch 472/500\n",
            "69/69 - 26s - loss: 1.4818 - accuracy: 0.7760 - auc: 0.9836 - recall: 0.2368 - precision: 1.0000 - val_loss: 1.5602 - val_accuracy: 0.7490 - val_auc: 0.9733 - val_recall: 0.2433 - val_precision: 1.0000\n",
            "Epoch 473/500\n",
            "69/69 - 26s - loss: 1.4624 - accuracy: 0.7741 - auc: 0.9845 - recall: 0.2546 - precision: 1.0000 - val_loss: 1.5580 - val_accuracy: 0.7529 - val_auc: 0.9733 - val_recall: 0.2452 - val_precision: 1.0000\n",
            "Epoch 474/500\n",
            "69/69 - 26s - loss: 1.4704 - accuracy: 0.7842 - auc: 0.9828 - recall: 0.2404 - precision: 1.0000 - val_loss: 1.5562 - val_accuracy: 0.7510 - val_auc: 0.9733 - val_recall: 0.2471 - val_precision: 1.0000\n",
            "Epoch 475/500\n",
            "69/69 - 26s - loss: 1.4699 - accuracy: 0.7728 - auc: 0.9846 - recall: 0.2400 - precision: 1.0000 - val_loss: 1.5548 - val_accuracy: 0.7567 - val_auc: 0.9735 - val_recall: 0.2471 - val_precision: 1.0000\n",
            "Epoch 476/500\n",
            "69/69 - 26s - loss: 1.4643 - accuracy: 0.7746 - auc: 0.9844 - recall: 0.2454 - precision: 1.0000 - val_loss: 1.5535 - val_accuracy: 0.7567 - val_auc: 0.9735 - val_recall: 0.2471 - val_precision: 1.0000\n",
            "Epoch 477/500\n",
            "69/69 - 26s - loss: 1.4741 - accuracy: 0.7796 - auc: 0.9831 - recall: 0.2427 - precision: 1.0000 - val_loss: 1.5523 - val_accuracy: 0.7510 - val_auc: 0.9734 - val_recall: 0.2471 - val_precision: 1.0000\n",
            "Epoch 478/500\n",
            "69/69 - 26s - loss: 1.4558 - accuracy: 0.7837 - auc: 0.9854 - recall: 0.2363 - precision: 1.0000 - val_loss: 1.5505 - val_accuracy: 0.7529 - val_auc: 0.9736 - val_recall: 0.2471 - val_precision: 1.0000\n",
            "Epoch 479/500\n",
            "69/69 - 26s - loss: 1.4637 - accuracy: 0.7769 - auc: 0.9834 - recall: 0.2505 - precision: 1.0000 - val_loss: 1.5488 - val_accuracy: 0.7567 - val_auc: 0.9735 - val_recall: 0.2510 - val_precision: 1.0000\n",
            "Epoch 480/500\n",
            "69/69 - 26s - loss: 1.4570 - accuracy: 0.7764 - auc: 0.9834 - recall: 0.2505 - precision: 1.0000 - val_loss: 1.5469 - val_accuracy: 0.7567 - val_auc: 0.9733 - val_recall: 0.2529 - val_precision: 1.0000\n",
            "Epoch 481/500\n",
            "69/69 - 26s - loss: 1.4749 - accuracy: 0.7764 - auc: 0.9839 - recall: 0.2377 - precision: 1.0000 - val_loss: 1.5455 - val_accuracy: 0.7586 - val_auc: 0.9736 - val_recall: 0.2548 - val_precision: 1.0000\n",
            "Epoch 482/500\n",
            "69/69 - 26s - loss: 1.4564 - accuracy: 0.7764 - auc: 0.9853 - recall: 0.2527 - precision: 1.0000 - val_loss: 1.5436 - val_accuracy: 0.7586 - val_auc: 0.9734 - val_recall: 0.2529 - val_precision: 1.0000\n",
            "Epoch 483/500\n",
            "69/69 - 26s - loss: 1.4505 - accuracy: 0.7773 - auc: 0.9840 - recall: 0.2486 - precision: 1.0000 - val_loss: 1.5416 - val_accuracy: 0.7605 - val_auc: 0.9734 - val_recall: 0.2548 - val_precision: 1.0000\n",
            "Epoch 484/500\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4F1yNvnnqpjc"
      },
      "source": [
        "### Lets visualize the output of the training phase"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XYaRMnfWC-d2"
      },
      "source": [
        "## 413 from 426"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        },
        "id": "uWpYratUmo8T",
        "outputId": "ed94dd7b-6e13-44ae-b6b5-a13453d83635"
      },
      "source": [
        "auc=history.history['auc']\n",
        "val_auc=history.history['val_auc']\n",
        "\n",
        "acc=history.history['accuracy']\n",
        "val_acc=history.history['val_accuracy']\n",
        "loss=history.history['loss']\n",
        "val_loss=history.history['val_loss']\n",
        "\n",
        "recall=history.history['recall']\n",
        "val_recall=history.history['val_recall']\n",
        "\n",
        "precision=history.history['precision']\n",
        "val_precision=history.history['val_precision']\n",
        "\n",
        "epochs=range(len(acc))\n",
        "\n",
        "plt.plot(epochs,loss,'bo',label=\"Training Loss\")\n",
        "plt.plot(epochs,val_loss,'r',label=\"Validation Loss\")\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "\n",
        "plt.plot(epochs,auc,'bo',label=\"Training AUC\")\n",
        "plt.plot(epochs,val_auc,'r',label=\"Validation AUC\")\n",
        "plt.legend()\n",
        "plt.figure()\n",
        "\n",
        "plt.plot(epochs,acc,'bo',label=\"Training Accuracy\")\n",
        "plt.plot(epochs,val_acc,'r',label=\"Validation Accuracy\")\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "plt.plot(epochs,recall,'bo',label=\"Training Recall\")\n",
        "plt.plot(epochs,val_recall,'r',label=\"Validation Recall\")\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "plt.plot(epochs,precision,'bo',label=\"Training Precision\")\n",
        "plt.plot(epochs,val_precision,'r',label=\"Validation Precision\")\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-1-40ad77c5943b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mauc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'auc'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mval_auc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'val_auc'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0macc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'accuracy'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mval_acc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'val_accuracy'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mNameError\u001b[0m: name 'history' is not defined"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "80bffwUd1P36"
      },
      "source": [
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "from sklearn.metrics import plot_confusion_matrix"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dnSdnAbc2i8A"
      },
      "source": [
        "filenames = validation_generator.filenames\n",
        "nb_samples = len(filenames)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "deP7NsH13khH",
        "outputId": "0f7e8874-6c60-4599-854f-f17135b84943"
      },
      "source": [
        "predict = model.predict_generator(validation_generator,steps = nb_samples)\n",
        "y_pred = np.argmax(predict, axis=1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/training.py:2001: UserWarning: `Model.predict_generator` is deprecated and will be removed in a future version. Please use `Model.predict`, which supports generators.\n",
            "  warnings.warn('`Model.predict_generator` is deprecated and '\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bP5ERVgy3xNC",
        "outputId": "77c9dfea-21f8-4d42-f7e8-6d9246cb3959"
      },
      "source": [
        "print('Confusion Matrix')\n",
        "print(confusion_matrix(validation_generator.classes, y_pred))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Confusion Matrix\n",
            "[[10  0  0 ...  0  0  0]\n",
            " [ 0  5  0 ...  0  0  0]\n",
            " [ 0  0  9 ...  0  0  0]\n",
            " ...\n",
            " [ 0  0  0 ... 22  0  0]\n",
            " [ 0  0  0 ...  0  8  0]\n",
            " [ 0  0  0 ...  0  1  5]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gzf0xvqV4Wa-",
        "outputId": "ee8dd535-7849-41a7-d976-46515c0a8846"
      },
      "source": [
        "target_names=list(training_generator.class_indices.keys())\n",
        "print(classification_report(validation_generator.classes, y_pred, target_names=target_names))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "     Abenaki       1.00      1.00      1.00        10\n",
            "        Alex       0.71      0.83      0.77         6\n",
            "       Aloyo       1.00      0.75      0.86        12\n",
            "       Apass       1.00      0.78      0.88         9\n",
            "  Babygloria       0.90      0.90      0.90        10\n",
            "      Barbie       1.00      0.50      0.67         4\n",
            "       Becky       1.00      0.90      0.95        10\n",
            "       Brian       0.86      0.86      0.86         7\n",
            "      Canary       0.94      0.88      0.91        17\n",
            "       Cindy       0.76      0.76      0.76        17\n",
            "   Cleopatra       0.88      0.70      0.78        10\n",
            "      Daniel       1.00      1.00      1.00        17\n",
            "      Desire       0.83      0.90      0.86        21\n",
            "       Diana       0.20      0.91      0.32        11\n",
            "     Dorothy       0.00      0.00      0.00         3\n",
            "       Farid       0.79      0.88      0.83        17\n",
            "         GNL       1.00      0.71      0.83         7\n",
            "    Gaetanok       1.00      0.67      0.80         6\n",
            "       Gamzi       1.00      0.22      0.36         9\n",
            "     Jazmine       0.89      0.89      0.89         9\n",
            "  Judithiana       0.75      0.75      0.75        12\n",
            "      Julian       0.50      0.71      0.59        14\n",
            "   Kabareebe       0.80      0.80      0.80        10\n",
            "     Kabuura       1.00      0.62      0.77         8\n",
            "    Kansiime       0.67      0.57      0.62         7\n",
            "   Kanyomozi       0.48      0.92      0.63        12\n",
            "     Katamba       1.00      0.80      0.89        10\n",
            "   Katatumba       0.95      0.90      0.92        20\n",
            "   KenMugabi       0.57      0.57      0.57        14\n",
            "       Lucky       1.00      0.81      0.90        16\n",
            "       Lynda       0.86      0.55      0.67        11\n",
            "     Malaika       0.64      0.64      0.64        11\n",
            "      Marcus       1.00      1.00      1.00         9\n",
            "      Martha       1.00      0.22      0.36         9\n",
            "       Mcvex       1.00      0.88      0.93         8\n",
            "        Menk       0.70      0.70      0.70        10\n",
            "      Nabata       0.86      0.86      0.86        22\n",
            "   Nduhukire       1.00      0.62      0.77         8\n",
            "        Pesh       0.65      0.85      0.73        13\n",
            "     Raymond       1.00      0.33      0.50         6\n",
            "Remuneration       0.83      0.95      0.89        21\n",
            "       Renal       1.00      0.38      0.55         8\n",
            "        Ruth       1.00      0.11      0.20         9\n",
            "      Samson       0.88      1.00      0.94        22\n",
            "      Sandra       0.80      0.80      0.80        10\n",
            "       Vanny       0.56      0.36      0.43        14\n",
            "\n",
            "    accuracy                           0.76       526\n",
            "   macro avg       0.83      0.71      0.73       526\n",
            "weighted avg       0.83      0.76      0.76       526\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ISoJ4iZXB4AZ",
        "outputId": "c2aca3b2-e9ef-4d40-d394-bddad042ecfc"
      },
      "source": [
        "!pip install scikit-plot"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting scikit-plot\n",
            "  Downloading https://files.pythonhosted.org/packages/7c/47/32520e259340c140a4ad27c1b97050dd3254fdc517b1d59974d47037510e/scikit_plot-0.3.7-py3-none-any.whl\n",
            "Requirement already satisfied: scikit-learn>=0.18 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (0.22.2.post1)\n",
            "Requirement already satisfied: joblib>=0.10 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (1.0.1)\n",
            "Requirement already satisfied: matplotlib>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (3.2.2)\n",
            "Requirement already satisfied: scipy>=0.9 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (1.4.1)\n",
            "Requirement already satisfied: numpy>=1.11.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.18->scikit-plot) (1.19.5)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (0.10.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (1.3.1)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (2.4.7)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (2.8.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from cycler>=0.10->matplotlib>=1.4.0->scikit-plot) (1.15.0)\n",
            "Installing collected packages: scikit-plot\n",
            "Successfully installed scikit-plot-0.3.7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "id": "HlQtroeHB1KN",
        "outputId": "9558a78f-08cc-4b81-d8ac-889c07440cd4"
      },
      "source": [
        "import scikitplot as skplt\n",
        "plt.figure(figsize=(20, 20))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "aar-7-2YCFG3",
        "outputId": "6ecdba90-3842-43db-a22a-75e63a577b36"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(20, 20))\n",
        "skplt.metrics.plot_confusion_matrix(validation_generator.classes, y_pred, normalize=True,ax=ax)\n",
        "plt.figure(figsize=(20, 20))\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yUQbldo4tTwb"
      },
      "source": [
        "title='Normalized confusion matrix'"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vw8fEi2AtKW6"
      },
      "source": [
        "disp = plot_confusion_matrix(model, X_test, y_test,\n",
        "                                 display_labels=target_names,\n",
        "                                 cmap=plt.cm.Blues,\n",
        "                                 normalize=normalize)\n",
        "disp.ax_.set_title(title)\n",
        "\n",
        "print(title)\n",
        "print(disp.confusion_matrix)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2k8RzXSFvYjT",
        "outputId": "a21565a8-4579-4bdb-a2b2-da8341c5275c"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"model_9\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
            "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
            "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
            "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
            "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
            "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
            "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
            "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
            "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
            "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
            "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
            "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
            "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
            "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
            "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
            "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
            "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
            "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
            "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
            "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
            "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
            "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
            "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "arc_face_7 (ArcFace)            (None, 128)          16384       Bottleneck[0][0]                 \n",
            "__________________________________________________________________________________________________\n",
            "dense_27 (Dense)                (None, 15)           1935        arc_face_7[0][0]                 \n",
            "==================================================================================================\n",
            "Total params: 22,826,079\n",
            "Trainable params: 18,319\n",
            "Non-trainable params: 22,807,760\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vpB6CtjbveC7",
        "outputId": "3a50fbdd-cf2c-4238-e368-3f1d1b344076"
      },
      "source": [
        "model2=Model(model.input,model.layers[-3].output)\n",
        "model2.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"model_12\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
            "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
            "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
            "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
            "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
            "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
            "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
            "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
            "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
            "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
            "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
            "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
            "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
            "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
            "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
            "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
            "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
            "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
            "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
            "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
            "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
            "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
            "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
            "==================================================================================================\n",
            "Total params: 22,807,760\n",
            "Trainable params: 0\n",
            "Non-trainable params: 22,807,760\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ILR3Wqmb7bwV"
      },
      "source": [
        "import tensorflow.compat.v1 as tf\n",
        "tf.disable_v2_behavior()\n",
        "sess=tf.Session()\n",
        "from tensorflow.python.framework import graph_io\n",
        "frozen = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, [\"name_of_the_output_node\"])\n",
        "graph_io.write_graph(frozen, '/tmp/session-frozens', 'inference_graph.pb', as_text=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 89
        },
        "id": "Wci41p_z2LSO",
        "outputId": "1dcb8f36-ea34-4e23-bce6-af6f8c04c912"
      },
      "source": [
        "import tensorflow.compat.v1 as tf\n",
        "tf.disable_v2_behavior()\n",
        "\n",
        "from keras import backend as K \n",
        "from keras.models import Sequential, Model\n",
        "\n",
        "\n",
        "sess=tf.Session()\n",
        "K.set_learning_phase(0)   # Set the learning phase to 0\n",
        "model = model2 \n",
        "config = model2.get_config()\n",
        "#weights = model2.get_weights()\n",
        "#model = Sequential.from_config(config)\n",
        "output_node = model2.output.name.split(':')[0]  # We need this in the next step\n",
        "graph_file = \"kerasFacenet.pb\" \n",
        "ckpt_file = \"kerasFacenet.ckpt\"\n",
        "saver = tf.train.Saver(sharded=True)\n",
        "tf.train.write_graph(sess.graph_def, '', graph_file)\n",
        "#saver.save(sess, ckpt_file) "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/backend.py:434: UserWarning: `tf.keras.backend.set_learning_phase` is deprecated and will be removed after 2020-10-11. To update it, simply pass a True/False value to the `training` argument of the `__call__` method of your layer or model.\n",
            "  warnings.warn('`tf.keras.backend.set_learning_phase` is deprecated and '\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'kerasFacenet.pb'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "kue-AGmHwiod",
        "outputId": "5beaef0a-adcf-4f50-9456-352c2bc2ed0e"
      },
      "source": [
        "from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2\n",
        "\n",
        "tf.saved_model.save(model2, \"/tmp/saved-models\")\n",
        "\n",
        "# Convert Keras model to ConcreteFunction\n",
        "full_model = tf.function(lambda x: model2(x))\n",
        "full_model = full_model.get_concrete_function(\n",
        "    tf.TensorSpec(model.inputs[0].shape, model.inputs[0].dtype))\n",
        "\n",
        "# Get frozen ConcreteFunction\n",
        "frozen_func = convert_variables_to_constants_v2(full_model)\n",
        "frozen_func.graph.as_graph_def()\n",
        "\n",
        "layers = [op.name for op in frozen_func.graph.get_operations()]\n",
        "#print(\"-\" * 50)\n",
        "#print(\"Frozen model layers: \")\n",
        "for layer in layers:\n",
        "    print(layer)\n",
        "\n",
        "#print(\"-\" * 50)\n",
        "#print(\"Frozen model inputs: \")\n",
        "#print(frozen_func.inputs)\n",
        "#print(\"Frozen model outputs: \")\n",
        "#print(frozen_func.outputs)\n",
        "\n",
        "# Save frozen graph from frozen ConcreteFunction to hard drive\n",
        "tf.io.write_graph(graph_or_graph_def=frozen_func.graph,\n",
        "                  logdir=\"/tmp/saved-model\",\n",
        "                  name=\"facenet-Original-LastLayer.pb\",\n",
        "                  as_text=False)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Assets written to: /tmp/saved-models/assets\n",
            "x\n",
            "model_12/Conv2d_1a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_1a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_1a_3x3/Conv2D\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_1a_3x3_Activation/Relu\n",
            "model_12/Conv2d_2a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_2a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_2a_3x3/Conv2D\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_2a_3x3_Activation/Relu\n",
            "model_12/Conv2d_2b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_2b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_2b_3x3/Conv2D\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_2b_3x3_Activation/Relu\n",
            "model_12/MaxPool_3a_3x3/MaxPool\n",
            "model_12/Conv2d_3b_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_3b_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_3b_1x1/Conv2D\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/scale\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_3b_1x1_Activation/Relu\n",
            "model_12/Conv2d_4a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_4a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_4a_3x3/Conv2D\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_4a_3x3_Activation/Relu\n",
            "model_12/Conv2d_4b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_4b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_4b_3x3/Conv2D\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_4b_3x3_Activation/Relu\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D\n",
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            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_Activation/Relu\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1/Conv2D\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/scale\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_Activation/Relu\n",
            "model_12/Block8_6_Concatenate/concat/axis\n",
            "model_12/Block8_6_Concatenate/concat\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd\n",
            "model_12/Block8_6_ScaleSum/mul/y\n",
            "model_12/Block8_6_ScaleSum/mul\n",
            "model_12/Block8_6_ScaleSum/add\n",
            "model_12/AvgPool/Mean/reduction_indices\n",
            "model_12/AvgPool/Mean\n",
            "model_12/Dropout/Identity\n",
            "model_12/Bottleneck/MatMul/ReadVariableOp/resource\n",
            "model_12/Bottleneck/MatMul/ReadVariableOp\n",
            "model_12/Bottleneck/MatMul\n",
            "Identity\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'/tmp/saved-model/facenet-Original-LastLayer.pb'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0NvKeRsc8Xgd"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}