notebooks/DataSetCIFAR10_NVIDIA_DIGITS.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOc1OZLkIx+ebANFKV6i+9f",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "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/OscarTMa/DeepLearning/blob/master/notebooks/DataSetCIFAR10_NVIDIA_DIGITS.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "98ABYgzrX8Pb"
      },
      "outputs": [],
      "source": [
        "# Import necessary libraries\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras.applications import ResNet50\n",
        "from tensorflow.keras.layers import Dense, Flatten\n",
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "import matplotlib.pyplot as plt\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 1: Load CIFAR-10 Dataset\n",
        "print(\"Loading CIFAR-10 dataset...\")\n",
        "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.cifar10.load_data()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Euq2QvOBYPr-",
        "outputId": "292cbc13-cc84-48a8-ff39-ca5dcef9ec0a"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loading CIFAR-10 dataset...\n",
            "Downloading data from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n",
            "\u001b[1m170498071/170498071\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 0us/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Normalize pixel values between 0 and 1\n",
        "x_train, x_test = x_train / 255.0, x_test / 255.0"
      ],
      "metadata": {
        "id": "6MSNQMHiYPyl"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Map category names\n",
        "class_names = ['Airplane', 'Automobile', 'Bird', 'Cat', 'Deer',\n",
        "               'Dog', 'Frog', 'Horse', 'Ship', 'Truck']\n",
        "\n",
        "# Preview some images\n",
        "plt.figure(figsize=(10, 10))\n",
        "for i in range(16):\n",
        "    plt.subplot(4, 4, i + 1)\n",
        "    plt.imshow(x_train[i])\n",
        "    plt.title(class_names[y_train[i][0]])\n",
        "    plt.axis('off')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 829
        },
        "id": "4zgqYkeKYP1w",
        "outputId": "d8bc6e6d-055b-4105-a0b2-7489761ffbf4"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 16 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 2: Data Augmentation\n",
        "print(\"Applying data augmentation...\")\n",
        "datagen = ImageDataGenerator(\n",
        "    rotation_range=15,\n",
        "    width_shift_range=0.1,\n",
        "    height_shift_range=0.1,\n",
        "    horizontal_flip=True\n",
        ")\n",
        "datagen.fit(x_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nrwDsbCFYP46",
        "outputId": "362ce8d2-22f2-4e06-8191-9c13e3d18110"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Applying data augmentation...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 3: Build Model using Transfer Learning\n",
        "print(\"Building the model...\")\n",
        "base_model = ResNet50(weights='imagenet', include_top=False, input_shape=(32, 32, 3))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rCymInEWYP8G",
        "outputId": "ff0bdbb1-fd13-47ad-f892-d7c8490e5429"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Building the model...\n",
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
            "\u001b[1m94765736/94765736\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 0us/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Freeze the base model\n",
        "base_model.trainable = False"
      ],
      "metadata": {
        "id": "y9z1JQwsYP_I"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Add custom layers for CIFAR-10\n",
        "x = Flatten()(base_model.output)\n",
        "x = Dense(128, activation='relu')(x)\n",
        "output = Dense(10, activation='softmax')(x)\n",
        "model = Model(inputs=base_model.input, outputs=output)"
      ],
      "metadata": {
        "id": "EMsKNKZZYQCE"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Compile the model\n",
        "model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n"
      ],
      "metadata": {
        "id": "uNapersHYQFZ"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 4: Train the Model\n",
        "print(\"Training the model...\")\n",
        "history = model.fit(\n",
        "    datagen.flow(x_train, y_train, batch_size=32),\n",
        "    epochs=10,\n",
        "    validation_data=(x_test, y_test)\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0P1OMP1yY9RZ",
        "outputId": "f6022fc6-53da-4b1d-c3c2-37bb4e2c4c76"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training the model...\n",
            "Epoch 1/10\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:122: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n",
            "  self._warn_if_super_not_called()\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m299s\u001b[0m 185ms/step - accuracy: 0.1925 - loss: 2.2180 - val_accuracy: 0.2814 - val_loss: 1.9370\n",
            "Epoch 2/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m281s\u001b[0m 180ms/step - accuracy: 0.2712 - loss: 1.9757 - val_accuracy: 0.3338 - val_loss: 1.8458\n",
            "Epoch 3/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m322s\u001b[0m 180ms/step - accuracy: 0.2962 - loss: 1.9211 - val_accuracy: 0.3306 - val_loss: 1.8336\n",
            "Epoch 4/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m282s\u001b[0m 180ms/step - accuracy: 0.3149 - loss: 1.8936 - val_accuracy: 0.3349 - val_loss: 1.8145\n",
            "Epoch 5/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m320s\u001b[0m 179ms/step - accuracy: 0.3241 - loss: 1.8643 - val_accuracy: 0.3597 - val_loss: 1.7878\n",
            "Epoch 6/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m325s\u001b[0m 181ms/step - accuracy: 0.3277 - loss: 1.8572 - val_accuracy: 0.3694 - val_loss: 1.7520\n",
            "Epoch 7/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m321s\u001b[0m 181ms/step - accuracy: 0.3335 - loss: 1.8441 - val_accuracy: 0.3596 - val_loss: 1.7665\n",
            "Epoch 8/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m321s\u001b[0m 180ms/step - accuracy: 0.3310 - loss: 1.8499 - val_accuracy: 0.3511 - val_loss: 1.7856\n",
            "Epoch 9/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m282s\u001b[0m 181ms/step - accuracy: 0.3411 - loss: 1.8249 - val_accuracy: 0.3620 - val_loss: 1.7623\n",
            "Epoch 10/10\n",
            "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m322s\u001b[0m 181ms/step - accuracy: 0.3465 - loss: 1.8124 - val_accuracy: 0.3693 - val_loss: 1.7592\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 5: Evaluate the Model\n",
        "print(\"Evaluating the model...\")\n",
        "test_loss, test_accuracy = model.evaluate(x_test, y_test)\n",
        "print(f\"Test Accuracy: {test_accuracy * 100:.2f}%\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t22H3pWDY9VA",
        "outputId": "dc4f0008-3866-4ff2-cf7e-626218956eea"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Evaluating the model...\n",
            "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m43s\u001b[0m 135ms/step - accuracy: 0.3755 - loss: 1.7523\n",
            "Test Accuracy: 36.93%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 6: Save the Model\n",
        "print(\"Saving the model...\")\n",
        "model.save(\"cifar10_resnet50.keras\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lAcHHXZyY9YY",
        "outputId": "c92af052-8142-4d65-9b26-f2f7318dac43"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving the model...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 7: Plot Training History\n",
        "plt.figure(figsize=(12, 5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "o9axfauoY9bi",
        "outputId": "bde234db-e415-4a38-d284-4802dcefbb5c"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 1200x500 with 0 Axes>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x500 with 0 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot accuracy\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.plot(history.history['accuracy'], label='Training Accuracy')\n",
        "plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n",
        "plt.title('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.legend()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "ASE1vba6Y9fF",
        "outputId": "052e7996-f6ad-40b1-d871-cc0cee0f85fc"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7a199543a920>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot loss\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.plot(history.history['loss'], label='Training Loss')\n",
        "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
        "plt.title('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Loss')\n",
        "plt.legend()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "DjhfNS_rY9if",
        "outputId": "a674e288-5a90-4200-fba3-b742aaa9ec4f"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "27ZzoHIaY9l6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "UPtSZevMY9pz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "lsT7ZEDOYQI7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "FEEOjA-gYQL8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "v4h54gtCYQPI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "I2Y5Zm-WYQSa"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}