model.json

"{\"config\": [{\"config\": {\"function\": [\"\\u00e3\\u0001\\u0000\\u0000\\u0000\\u0000\\u0000\\u0000\\u0000\\u0001\\u0000\\u0000\\u0000\\u0002\\u0000\\u0000\\u0000C\\u0000\\u0000\\u0000s\\f\\u0000\\u0000\\u0000|\\u0000\\u0000d\\u0001\\u0000\\u001bd\\u0002\\u0000\\u0018S)\\u0003Ng\\u0000\\u0000\\u0000\\u0000\\u0000\\u00e0_@g\\u0000\\u0000\\u0000\\u0000\\u0000\\u0000\\u00f0?\\u00a9\\u0000)\\u0001\\u00da\\u0001xr\\u0001\\u0000\\u0000\\u0000r\\u0001\\u0000\\u0000\\u0000\\u00fa\\\"behavioral_cloning_augmentation.py\\u00da\\b<lambda>\\u00ab\\u0000\\u0000\\u0000\\u00f3\\u0000\\u0000\\u0000\\u0000\", null, null], \"trainable\": true, \"arguments\": {}, \"input_dtype\": \"float32\", \"output_shape\": null, \"batch_input_shape\": [null, 64, 64, 3], \"name\": \"lambda_1\", \"function_type\": \"lambda\", \"output_shape_type\": \"raw\"}, \"class_name\": \"Lambda\"}, {\"config\": {\"activity_regularizer\": null, \"name\": \"convolution2d_1\", \"nb_filter\": 32, \"nb_row\": 8, \"init\": \"glorot_uniform\", \"W_constraint\": null, \"trainable\": true, \"W_regularizer\": null, \"dim_ordering\": \"tf\", \"b_constraint\": null, \"nb_col\": 8, \"activation\": \"linear\", \"subsample\": [4, 4], \"b_regularizer\": null, \"bias\": true, \"border_mode\": \"same\"}, \"class_name\": \"Convolution2D\"}, {\"config\": {\"name\": \"activation_1\", \"trainable\": true, \"activation\": \"relu\"}, \"class_name\": \"Activation\"}, {\"config\": {\"activity_regularizer\": null, \"name\": \"convolution2d_2\", \"nb_filter\": 64, \"nb_row\": 8, \"init\": \"glorot_uniform\", \"W_constraint\": null, \"trainable\": true, \"W_regularizer\": null, \"dim_ordering\": \"tf\", \"b_constraint\": null, \"nb_col\": 8, \"activation\": \"linear\", \"subsample\": [4, 4], \"b_regularizer\": null, \"bias\": true, \"border_mode\": \"same\"}, \"class_name\": \"Convolution2D\"}, {\"config\": {\"name\": \"relu2\", \"trainable\": true, \"activation\": \"relu\"}, \"class_name\": \"Activation\"}, {\"config\": {\"activity_regularizer\": null, \"name\": \"convolution2d_3\", \"nb_filter\": 128, \"nb_row\": 4, \"init\": \"glorot_uniform\", \"W_constraint\": null, \"trainable\": true, \"W_regularizer\": null, \"dim_ordering\": \"tf\", \"b_constraint\": null, \"nb_col\": 4, \"activation\": \"linear\", \"subsample\": [2, 2], \"b_regularizer\": null, \"bias\": true, \"border_mode\": \"same\"}, \"class_name\": \"Convolution2D\"}, {\"config\": {\"name\": \"activation_2\", \"trainable\": true, \"activation\": \"relu\"}, \"class_name\": \"Activation\"}, {\"config\": {\"activity_regularizer\": null, \"name\": \"convolution2d_4\", \"nb_filter\": 128, \"nb_row\": 2, \"init\": \"glorot_uniform\", \"W_constraint\": null, \"trainable\": true, \"W_regularizer\": null, \"dim_ordering\": \"tf\", \"b_constraint\": null, \"nb_col\": 2, \"activation\": \"linear\", \"subsample\": [1, 1], \"b_regularizer\": null, \"bias\": true, \"border_mode\": \"same\"}, \"class_name\": \"Convolution2D\"}, {\"config\": {\"name\": \"activation_3\", \"trainable\": true, \"activation\": \"relu\"}, \"class_name\": \"Activation\"}, {\"config\": {\"name\": \"flatten_1\", \"trainable\": true}, \"class_name\": \"Flatten\"}, {\"config\": {\"name\": \"dropout_1\", \"trainable\": true, \"p\": 0.5}, \"class_name\": \"Dropout\"}, {\"config\": {\"activity_regularizer\": null, \"name\": \"dense_1\", \"W_constraint\": null, \"trainable\": true, \"input_dim\": null, \"W_regularizer\": null, \"b_constraint\": null, \"init\": \"glorot_uniform\", \"activation\": \"linear\", \"output_dim\": 128, \"b_regularizer\": null, \"bias\": true}, \"class_name\": \"Dense\"}, {\"config\": {\"name\": \"activation_4\", \"trainable\": true, \"activation\": \"relu\"}, \"class_name\": \"Activation\"}, {\"config\": {\"name\": \"dropout_2\", \"trainable\": true, \"p\": 0.5}, \"class_name\": \"Dropout\"}, {\"config\": {\"activity_regularizer\": null, \"name\": \"dense_2\", \"W_constraint\": null, \"trainable\": true, \"input_dim\": null, \"W_regularizer\": null, \"b_constraint\": null, \"init\": \"glorot_uniform\", \"activation\": \"linear\", \"output_dim\": 128, \"b_regularizer\": null, \"bias\": true}, \"class_name\": \"Dense\"}, {\"config\": {\"activity_regularizer\": null, \"name\": \"dense_3\", \"W_constraint\": null, \"trainable\": true, \"input_dim\": null, \"W_regularizer\": null, \"b_constraint\": null, \"init\": \"glorot_uniform\", \"activation\": \"linear\", \"output_dim\": 1, \"b_regularizer\": null, \"bias\": true}, \"class_name\": \"Dense\"}], \"keras_version\": \"1.1.2\", \"class_name\": \"Sequential\"}"