model_hkkim.json

{"class_name": "Sequential", "config": [{"class_name": "Lambda", "config": {"input_dtype": "float32", "name": "lambda_1", "batch_input_shape": [null, 160, 320, 3], "arguments": {}, "output_shape_type": "raw", "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)\u0003N\u00e7\u0000\u0000\u0000\u0000\u0000\u00e0_@\u00e7\u0000\u0000\u0000\u0000\u0000\u0000\u00f0?\u00a9\u0000)\u0001\u00da\u0001xr\u0003\u0000\u0000\u0000r\u0003\u0000\u0000\u0000\u00fa\u000emodel_hkkim.py\u00da\b<lambda>e\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", null, null], "function_type": "lambda", "output_shape": [160, 320, 3], "trainable": true}}, {"class_name": "Cropping2D", "config": {"name": "cropping2d_1", "cropping": [[50, 20], [0, 0]], "trainable": true}}, {"class_name": "Convolution2D", "config": {"border_mode": "valid", "bias": true, "W_constraint": null, 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