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model.json
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{"class_name": "Functional", "config": {"name": "model_1", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 48, 48, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input"}, "name": "input", "inbound_nodes": []}, {"class_name": "Conv2D", "config": {"name": "conv1_1", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "conv1_1", "inbound_nodes": [[["input", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_17", "trainable": true, "dtype": "float32", 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