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model.json
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{"class_name": "Model", "keras_version": "1.0.7", "config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3, 64, 64], "name": "input_1", "input_dtype": "float32"}, "inbound_nodes": [], "name": "input_1"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c1", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "valid", "b_regularizer": null, "W_regularizer": null, "activation": "linear", "nb_row": 5}, "inbound_nodes": [[["input_1", 0, 0]]], "name": "c1"}, {"class_name": "MaxPooling2D", "config": {"name": "maxpooling2d_1", "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "strides": [2, 2], "border_mode": "same"}, "inbound_nodes": [[["c1", 0, 0]]], "name": "maxpooling2d_1"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c2", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "valid", "b_regularizer": null, "W_regularizer": null, "activation": "relu", "nb_row": 5}, "inbound_nodes": [[["maxpooling2d_1", 0, 0]]], "name": "c2"}, {"class_name": "MaxPooling2D", "config": {"name": "maxpooling2d_2", "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "strides": [2, 2], "border_mode": "same"}, "inbound_nodes": [[["c2", 0, 0]]], "name": "maxpooling2d_2"}, {"class_name": "Dropout", "config": {"p": 0.25, "trainable": true, "name": "dropout_1"}, "inbound_nodes": [[["maxpooling2d_2", 0, 0]]], "name": "dropout_1"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "c3", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 5, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "valid", "b_regularizer": null, "W_regularizer": null, "activation": "relu", "nb_row": 5}, "inbound_nodes": [[["dropout_1", 0, 0]]], "name": "c3"}, {"class_name": "MaxPooling2D", "config": {"name": "maxpooling2d_3", "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "strides": [2, 2], "border_mode": "same"}, "inbound_nodes": [[["c3", 0, 0]]], "name": "maxpooling2d_3"}, {"class_name": "Flatten", "config": {"trainable": true, "name": "flatten_1"}, "inbound_nodes": [[["maxpooling2d_3", 0, 0]]], "name": "flatten_1"}, {"class_name": "Dense", "config": {"W_constraint": null, "b_constraint": null, "name": "dense_1", "activity_regularizer": null, "trainable": true, "init": "glorot_uniform", "bias": true, "input_dim": null, "b_regularizer": null, "W_regularizer": null, "activation": "linear", "output_dim": 64}, "inbound_nodes": [[["flatten_1", 0, 0]]], "name": "dense_1"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_1"}, "inbound_nodes": [[["dense_1", 0, 0]]], "name": "activation_1"}, {"class_name": "Dense", "config": {"W_constraint": null, "b_constraint": null, "name": "dense_2", "activity_regularizer": null, "trainable": true, "init": "glorot_uniform", "bias": true, "input_dim": null, "b_regularizer": null, "W_regularizer": null, "activation": "linear", "output_dim": 32}, "inbound_nodes": [[["activation_1", 0, 0]]], "name": "dense_2"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_2"}, "inbound_nodes": [[["dense_2", 0, 0]]], "name": "activation_2"}, {"class_name": "Dropout", "config": {"p": 0.5, "trainable": true, "name": "dropout_2"}, "inbound_nodes": [[["activation_2", 0, 0]]], "name": "dropout_2"}, {"class_name": "Dense", "config": {"W_constraint": null, "b_constraint": null, "name": "dense_3", "activity_regularizer": null, "trainable": true, "init": "glorot_uniform", "bias": true, "input_dim": null, "b_regularizer": null, "W_regularizer": null, "activation": "linear", "output_dim": 5}, "inbound_nodes": [[["dropout_2", 0, 0]]], "name": "dense_3"}, {"class_name": "Activation", "config": {"activation": "softmax", "trainable": true, "name": "activation_3"}, "inbound_nodes": [[["dense_3", 0, 0]]], "name": "activation_3"}], "input_layers": [["input_1", 0, 0]], "output_layers": [["activation_3", 0, 0]], "name": "model_1"}}