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model.json
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{"format": "layers-model", "generatedBy": "keras v2.2.4-tf", "convertedBy": "TensorFlow.js Converter v1.2.6", "modelTopology": {"keras_version": "2.2.4-tf", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"layers": [{"class_name": "Conv2D", "config": {"kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "name": "conv2d_6", "kernel_constraint": null, "bias_regularizer": null, "bias_constraint": null, "dtype": "float32", "activation": "relu", "trainable": true, "data_format": "channels_last", "padding": "valid", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 32, "bias_initializer": {"class_name": "Zeros", "config": {}}, "batch_input_shape": [null, 720, 720, 3], "use_bias": true, "activity_regularizer": null, "kernel_size": [6, 6]}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_6", "dtype": "float32", "trainable": true, "data_format": "channels_last", "pool_size": [6, 6], "padding": "valid", "strides": [6, 6]}}, {"class_name": "Conv2D", "config": {"kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "name": "conv2d_7", "kernel_constraint": null, "bias_regularizer": null, "bias_constraint": null, "dtype": "float32", "activation": "relu", "trainable": true, "data_format": "channels_last", "padding": "valid", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 64, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": true, "activity_regularizer": null, "kernel_size": [3, 3]}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_7", "dtype": "float32", "trainable": true, "data_format": "channels_last", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2]}}, {"class_name": "Conv2D", "config": {"kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "name": "conv2d_8", "kernel_constraint": null, "bias_regularizer": null, "bias_constraint": null, "dtype": "float32", "activation": "relu", "trainable": true, "data_format": "channels_last", "padding": "valid", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 64, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": true, "activity_regularizer": null, "kernel_size": [3, 3]}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_8", "dtype": "float32", "trainable": true, "data_format": "channels_last", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2]}}, {"class_name": "Flatten", "config": {"dtype": "float32", "trainable": true, "name": "flatten_2", "data_format": "channels_last"}}, {"class_name": "Dense", "config": {"kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "name": "dense_2", "kernel_constraint": null, "bias_regularizer": null, "bias_constraint": null, "dtype": "float32", "activation": "sigmoid", "trainable": true, "kernel_regularizer": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "units": 3, "use_bias": true, "activity_regularizer": null}}], "name": "sequential_2"}}, "training_config": {"loss": "categorical_crossentropy", "loss_weights": null, "metrics": ["acc"], "optimizer_config": {"class_name": "RMSprop", "config": {"name": "RMSprop", "rho": 0.8999999761581421, "decay": 0.0, "centered": false, "epsilon": 1e-07, "learning_rate": 9.999999747378752e-05, "momentum": 0.0}}, "weighted_metrics": null, "sample_weight_mode": null}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "conv2d_6/kernel", "shape": [6, 6, 3, 32], "dtype": "float32"}, {"name": "conv2d_6/bias", "shape": [32], "dtype": "float32"}, {"name": "conv2d_7/kernel", "shape": [3, 3, 32, 64], "dtype": "float32"}, {"name": "conv2d_7/bias", "shape": [64], "dtype": "float32"}, {"name": "conv2d_8/kernel", "shape": [3, 3, 64, 64], "dtype": "float32"}, {"name": "conv2d_8/bias", "shape": [64], "dtype": "float32"}, {"name": "dense_2/kernel", "shape": [50176, 3], "dtype": "float32"}, {"name": "dense_2/bias", "shape": [3], "dtype": "float32"}]}]}