-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathmodel.json
1 lines (1 loc) · 2.01 KB
/
model.json
1
"{\"class_name\": \"Sequential\", \"keras_version\": \"1.1.2\", \"config\": [{\"class_name\": \"Lambda\", \"config\": {\"output_shape\": [16, 32, 3], \"output_shape_type\": \"raw\", \"trainable\": true, \"arguments\": {}, \"function\": [\"\\u00e3\\u0001\\u0000\\u0000\\u0000\\u0000\\u0000\\u0000\\u0000\\u0001\\u0000\\u0000\\u0000\\u0002\\u0000\\u0000\\u0000S\\u0000\\u0000\\u0000s\\f\\u0000\\u0000\\u0000|\\u0000\\u0000d\\u0001\\u0000\\u001bd\\u0002\\u0000\\u0018S)\\u0003Ng\\u0000\\u0000\\u0000\\u0000\\u0000\\u0000`@g\\u0000\\u0000\\u0000\\u0000\\u0000\\u0000\\u00f0?\\u00a9\\u0000)\\u0001\\u00da\\u0001xr\\u0001\\u0000\\u0000\\u0000r\\u0001\\u0000\\u0000\\u0000\\u00fa\\bmodel.py\\u00da\\b<lambda>&\\u0000\\u0000\\u0000\\u00f3\\u0000\\u0000\\u0000\\u0000\", null, null], \"batch_input_shape\": [null, 16, 32, 3], \"function_type\": \"lambda\", \"name\": \"lambda_1\", \"input_dtype\": \"float32\"}}, {\"class_name\": \"Convolution2D\", \"config\": {\"subsample\": [1, 1], \"dim_ordering\": \"tf\", \"nb_row\": 3, \"bias\": true, \"activation\": \"relu\", \"W_regularizer\": null, \"activity_regularizer\": null, \"W_constraint\": null, \"b_regularizer\": null, \"trainable\": true, \"init\": \"he_normal\", \"border_mode\": \"valid\", \"b_constraint\": null, \"nb_col\": 3, \"name\": \"convolution2d_1\", \"nb_filter\": 16}}, {\"class_name\": \"MaxPooling2D\", \"config\": {\"strides\": [4, 4], \"dim_ordering\": \"tf\", \"trainable\": true, \"pool_size\": [4, 4], \"border_mode\": \"valid\", \"name\": \"maxpooling2d_1\"}}, {\"class_name\": \"Dropout\", \"config\": {\"p\": 0.2, \"trainable\": true, \"name\": \"dropout_1\"}}, {\"class_name\": \"Flatten\", \"config\": {\"trainable\": true, \"name\": \"flatten_1\"}}, {\"class_name\": \"Dense\", \"config\": {\"output_dim\": 1, \"bias\": true, \"W_regularizer\": null, \"activity_regularizer\": null, \"input_dim\": null, \"W_constraint\": null, \"b_regularizer\": null, \"trainable\": true, \"init\": \"glorot_uniform\", \"b_constraint\": null, \"name\": \"dense_1\", \"activation\": \"linear\"}}]}"