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Merge pull request #152 from Hector-hedb12/issue_149_vgg_like_convnet
Issue 149: VGG-like Convolutional Neural Network Classifier
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mlprimitives/jsons/keras.Sequential.VGGCNNClassifier.json
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| { | ||
| "name": "keras.Sequential.VGGCNNClassifier", | ||
| "contributors": [ | ||
| "Hector Dominguez <hedb_12@hotmail.com>" | ||
| ], | ||
| "description": "VGG-like Convolutional Neural Network Classifier", | ||
| "classifiers": { | ||
| "type": "estimator", | ||
| "subtype": "classifier" | ||
| }, | ||
| "modalities": [], | ||
| "primitive": "mlprimitives.adapters.keras.Sequential", | ||
| "fit": { | ||
| "method": "fit", | ||
| "args": [ | ||
| { | ||
| "name": "X", | ||
| "type": "ndarray" | ||
| }, | ||
| { | ||
| "name": "y", | ||
| "type": "array" | ||
| }, | ||
| { | ||
| "name": "classes", | ||
| "type": "int", | ||
| "description": "Number of classes" | ||
| } | ||
| ] | ||
| }, | ||
| "produce": { | ||
| "method": "predict", | ||
| "args": [ | ||
| { | ||
| "name": "X", | ||
| "type": "ndarray" | ||
| } | ||
| ], | ||
| "output": [ | ||
| { | ||
| "name": "y", | ||
| "type": "array" | ||
| } | ||
| ] | ||
| }, | ||
| "hyperparameters": { | ||
| "fixed": { | ||
| "classification": { | ||
| "type": "bool", | ||
| "default": true | ||
| }, | ||
| "conv2d_1_filters": { | ||
| "type": "int", | ||
| "default": 32 | ||
| }, | ||
| "input_shape": { | ||
| "type": "list", | ||
| "default": [ | ||
| 224, | ||
| 224, | ||
| 3 | ||
| ] | ||
| }, | ||
| "conv2d_2_filters": { | ||
| "type": "int", | ||
| "default": 32 | ||
| }, | ||
| "conv2d_3_filters": { | ||
| "type": "int", | ||
| "default": 32 | ||
| }, | ||
| "conv2d_4_filters": { | ||
| "type": "int", | ||
| "default": 32 | ||
| }, | ||
| "loss": { | ||
| "type": "str", | ||
| "default": "keras.losses.categorical_crossentropy" | ||
| }, | ||
| "optimizer": { | ||
| "type": "str", | ||
| "default": "keras.optimizers.SGD" | ||
| }, | ||
| "metrics": { | ||
| "type": "list", | ||
| "default": [ | ||
| "accuracy" | ||
| ] | ||
| }, | ||
| "epochs": { | ||
| "type": "int", | ||
| "default": 20 | ||
| }, | ||
| "verbose": { | ||
| "type": "int", | ||
| "default": 0, | ||
| "range": [ | ||
| 0, | ||
| 2 | ||
| ] | ||
| }, | ||
| "layers": { | ||
| "type": "list", | ||
| "default": [ | ||
| { | ||
| "class": "keras.layers.Conv2D", | ||
| "parameters": { | ||
| "filters": "conv2d_1_filters", | ||
| "kernel_size": "conv2d_1_kernel_size", | ||
| "activation": "relu", | ||
| "input_shape": "input_shape" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.Conv2D", | ||
| "parameters": { | ||
| "filters": "conv2d_2_filters", | ||
| "kernel_size": "conv2d_2_kernel_size", | ||
| "activation": "relu" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.MaxPooling2D", | ||
| "parameters": { | ||
| "pool_size": "maxpooling2d_1_pool_size" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.Dropout", | ||
| "parameters": { | ||
| "rate": "dropout_1_rate" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.Conv2D", | ||
| "parameters": { | ||
| "filters": "conv2d_3_filters", | ||
| "kernel_size": "conv2d_3_kernel_size", | ||
| "activation": "relu" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.Conv2D", | ||
| "parameters": { | ||
| "filters": "conv2d_4_filters", | ||
| "kernel_size": "conv2d_4_kernel_size", | ||
| "activation": "relu" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.MaxPooling2D", | ||
| "parameters": { | ||
| "pool_size": "maxpooling2d_2_pool_size" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.Dropout", | ||
| "parameters": { | ||
| "rate": "dropout_2_rate" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.Flatten", | ||
| "parameters": {} | ||
| }, | ||
| { | ||
| "class": "keras.layers.Dense", | ||
| "parameters": { | ||
| "units": "dense_units", | ||
| "activation": "relu" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.Dropout", | ||
| "parameters": { | ||
| "rate": "dropout_3_rate" | ||
| } | ||
| }, | ||
| { | ||
| "class": "keras.layers.Dense", | ||
| "parameters": { | ||
| "units": "classes", | ||
| "activation": "softmax" | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| }, | ||
| "tunable": { | ||
| "conv2d_1_kernel_size": { | ||
| "type": "int", | ||
| "default": 3, | ||
| "range": [ | ||
| 3, | ||
| 10 | ||
| ] | ||
| }, | ||
| "conv2d_2_kernel_size": { | ||
| "type": "int", | ||
| "default": 3, | ||
| "range": [ | ||
| 3, | ||
| 10 | ||
| ] | ||
| }, | ||
| "maxpooling2d_1_pool_size": { | ||
| "type": "int", | ||
| "default": 2, | ||
| "range": [ | ||
| 2, | ||
| 10 | ||
| ] | ||
| }, | ||
| "dropout_1_rate": { | ||
| "type": "float", | ||
| "default": 0.0, | ||
| "range": [ | ||
| 0.0, | ||
| 0.75 | ||
| ] | ||
| }, | ||
| "conv2d_3_kernel_size": { | ||
| "type": "int", | ||
| "default": 3, | ||
| "range": [ | ||
| 3, | ||
| 10 | ||
| ] | ||
| }, | ||
| "conv2d_4_kernel_size": { | ||
| "type": "int", | ||
| "default": 3, | ||
| "range": [ | ||
| 3, | ||
| 10 | ||
| ] | ||
| }, | ||
| "maxpooling2d_2_pool_size": { | ||
| "type": "int", | ||
| "default": 2, | ||
| "range": [ | ||
| 2, | ||
| 10 | ||
| ] | ||
| }, | ||
| "dropout_2_rate": { | ||
| "type": "float", | ||
| "default": 0.0, | ||
| "range": [ | ||
| 0.0, | ||
| 0.75 | ||
| ] | ||
| }, | ||
| "dense_units": { | ||
| "type": "int", | ||
| "default": 64, | ||
| "range": [ | ||
| 1, | ||
| 500 | ||
| ] | ||
| }, | ||
| "dropout_3_rate": { | ||
| "type": "float", | ||
| "default": 0.5, | ||
| "range": [ | ||
| 0.0, | ||
| 0.75 | ||
| ] | ||
| } | ||
| } | ||
| } | ||
| } |
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| { | ||
| "metadata": { | ||
| "name": "keras.Sequential.VGGCNNClassifier", | ||
| "data_type": "image", | ||
| "task_type": "classification" | ||
| }, | ||
| "validation": { | ||
| "dataset": "usps", | ||
| "context": {} | ||
| }, | ||
| "primitives": [ | ||
| "mlprimitives.custom.counters.UniqueCounter", | ||
| "keras.Sequential.VGGCNNClassifier" | ||
| ], | ||
| "input_names": { | ||
| "mlprimitives.custom.counters.UniqueCounter#1": { | ||
| "X": "y" | ||
| } | ||
| }, | ||
| "output_names": { | ||
| "mlprimitives.custom.counters.UniqueCounter#1": { | ||
| "counts": "classes" | ||
| } | ||
| }, | ||
| "init_params": { | ||
| "mlprimitives.custom.counters.UniqueCounter#1": { | ||
| "add": 1 | ||
| }, | ||
| "keras.Sequential.VGGCNNClassifier#1": { | ||
| "epochs": 1 | ||
| } | ||
| } | ||
| } |