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model.json
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{"format": "layers-model", "generatedBy": "keras v2.5.0", "convertedBy": "TensorFlow.js Converter v3.9.0", "modelTopology": {"keras_version": "2.5.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential_17", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 75, 75, 3], "dtype": "float32", "sparse": false, "ragged": false, "name": "resnet152_input"}}, {"class_name": "Functional", "config": {"name": "resnet152", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 75, 75, 3], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_10"}, "name": "input_10", "inbound_nodes": []}, {"class_name": "ZeroPadding2D", "config": {"name": "conv1_pad", "trainable": false, "dtype": "float32", "padding": [[3, 3], [3, 3]], "data_format": "channels_last"}, "name": "conv1_pad", "inbound_nodes": [[["input_10", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "conv1_conv", 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