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model-4_architecture.json
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model-4_architecture.json
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{"layers": [{"W_constraint": null, "b_constraint": null, "name": "Convolution2D", "custom_name": "convolution2d", "subsample": [1, 1], "nb_col": 3, "activation": "relu", "trainable": true, "input_shape": [3, 32, 32], "dim_ordering": "th", "cache_enabled": true, "init": "glorot_uniform", "nb_filter": 32, "b_regularizer": null, "W_regularizer": null, "nb_row": 3, "activity_regularizer": null, "border_mode": "valid"}, {"W_constraint": null, "b_constraint": null, "name": "Convolution2D", "custom_name": "convolution2d", "subsample": [1, 1], "activation": "relu", "trainable": true, "dim_ordering": "th", "nb_col": 3, "cache_enabled": true, "init": "glorot_uniform", "nb_filter": 32, "b_regularizer": null, "W_regularizer": null, "nb_row": 3, "activity_regularizer": null, "border_mode": "valid"}, {"name": "MaxPooling2D", "custom_name": "maxpooling2d", "strides": [2, 2], "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "cache_enabled": true, "border_mode": "valid"}, {"cache_enabled": true, "trainable": true, "name": "Dropout", "custom_name": "dropout", "p": 0.25}, {"W_constraint": null, "b_constraint": null, "name": "Convolution2D", "custom_name": "convolution2d", "subsample": [1, 1], "activation": "relu", "trainable": true, "dim_ordering": "th", "nb_col": 3, "cache_enabled": true, "init": "glorot_uniform", "nb_filter": 64, "b_regularizer": null, "W_regularizer": null, "nb_row": 3, "activity_regularizer": null, "border_mode": "valid"}, {"W_constraint": null, "b_constraint": null, "name": "Convolution2D", "custom_name": "convolution2d", "subsample": [1, 1], "activation": "relu", "trainable": true, "dim_ordering": "th", "nb_col": 3, "cache_enabled": true, "init": "glorot_uniform", "nb_filter": 64, "b_regularizer": null, "W_regularizer": null, "nb_row": 3, "activity_regularizer": null, "border_mode": "valid"}, {"name": "MaxPooling2D", "custom_name": "maxpooling2d", "strides": [2, 2], "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "cache_enabled": true, "border_mode": "valid"}, {"cache_enabled": true, "trainable": true, "name": "Dropout", "custom_name": "dropout", "p": 0.25}, {"cache_enabled": true, "trainable": true, "name": "Flatten", "custom_name": "flatten"}, {"W_constraint": null, "b_constraint": null, "name": "Dense", "custom_name": "dense", "activity_regularizer": null, "trainable": true, "cache_enabled": true, "init": "glorot_uniform", "activation": "relu", "input_dim": null, "b_regularizer": null, "W_regularizer": null, "output_dim": 512}, {"cache_enabled": true, "trainable": true, "name": "Dropout", "custom_name": "dropout", "p": 0.5}, {"W_constraint": null, "b_constraint": null, "name": "Dense", "custom_name": "dense", "activity_regularizer": null, "trainable": true, "cache_enabled": true, "init": "glorot_uniform", "activation": "softmax", "input_dim": null, "b_regularizer": null, "W_regularizer": null, "output_dim": 10}], "optimizer": {"nesterov": true, "lr": 0.009999999776482582, "name": "SGD", "momentum": 0.8999999761581421, "decay": 9.999999974752427e-07}, "class_mode": "categorical", "name": "Sequential", "loss": "categorical_crossentropy"}