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model.json
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model.json
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{"config": [{"config": {"batch_input_shape": [null, 80, 80, 3], "output_shape": null, "name": "lambda_1", "function_type": "lambda", "input_dtype": "float32", "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\u00e0_@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], "arguments": {}, "output_shape_type": "raw", "trainable": true}, "class_name": "Lambda"}, {"config": {"dim_ordering": "tf", "bias": true, "nb_filter": 24, "b_regularizer": null, "W_regularizer": null, "nb_row": 5, "activity_regularizer": null, "W_constraint": null, "b_constraint": null, "name": "convolution2d_1", "trainable": true, "border_mode": "valid", 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