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{"format": "layers-model", "generatedBy": "keras v2.7.0", "convertedBy": "TensorFlow.js Converter v3.12.0", "modelTopology": {"keras_version": "2.7.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential_2", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 40, 21, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "conv2d_4_input"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_4", "trainable": true, "batch_input_shape": [null, 40, 21, 1], "dtype": "float32", "filters": 32, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "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": 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"dtype": "float32", "fn": "categorical_accuracy"}}]], "weighted_metrics": null, "loss_weights": null, "optimizer_config": {"class_name": "Adam", "config": {"name": "Adam", "learning_rate": 0.0010000000474974513, "decay": 0.0, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "epsilon": 1e-07, "amsgrad": false}}}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "conv2d_4/kernel", "shape": [3, 3, 1, 32], "dtype": "float32"}, {"name": "conv2d_4/bias", "shape": [32], "dtype": "float32"}, {"name": "conv2d_5/kernel", "shape": [3, 3, 32, 64], "dtype": "float32"}, {"name": "conv2d_5/bias", "shape": [64], "dtype": "float32"}, {"name": "dense_6/kernel", "shape": [1536, 256], "dtype": "float32"}, {"name": "dense_6/bias", "shape": [256], "dtype": "float32"}, {"name": "dense_7/kernel", "shape": [256, 128], "dtype": "float32"}, {"name": "dense_7/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_8/kernel", "shape": [128, 36], "dtype": "float32"}, {"name": "dense_8/bias", "shape": [36], "dtype": "float32"}]}]}