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model.json
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model.json
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{"format": "layers-model", "generatedBy": "keras v2.11.0", "convertedBy": "TensorFlow.js Converter v4.2.0", "modelTopology": {"keras_version": "2.11.0", "backend": "tensorflow", "model_config": {"class_name": "Functional", "config": {"name": "mnist_model_for_js", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 784], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 128, "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": "dense", "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 128, "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": "dense_1", "inbound_nodes": [[["dense", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 10, "activation": "linear", "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": "dense_2", "inbound_nodes": [[["dense_1", 0, 0, {}]]]}], "input_layers": [["input_1", 0, 0]], "output_layers": [["dense_2", 0, 0]]}}, "training_config": {"loss": {"class_name": "SparseCategoricalCrossentropy", "config": {"reduction": "auto", "name": "sparse_categorical_crossentropy", "from_logits": true, "ignore_class": null}}, "metrics": [[{"class_name": "MeanMetricWrapper", "config": {"name": "accuracy", "dtype": "float32", "fn": "sparse_categorical_accuracy"}}]], "weighted_metrics": null, "loss_weights": null, "optimizer_config": {"class_name": "Custom>RMSprop", "config": {"name": "RMSprop", "weight_decay": null, "clipnorm": null, "global_clipnorm": null, "clipvalue": null, "use_ema": false, "ema_momentum": 0.99, "ema_overwrite_frequency": 100, "jit_compile": true, "is_legacy_optimizer": false, "learning_rate": 0.0010000000474974513, "rho": 0.9, "momentum": 0.0, "epsilon": 1e-07, "centered": false}}}}, "weightsManifest": [{"paths": ["https://github.com/erdiari/erdiari.github.io/blob/master/group1-shard1of1.bin?raw=true"], "weights": [{"name": "dense/kernel", "shape": [784, 128], "dtype": "float32"}, {"name": "dense/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_1/kernel", "shape": [128, 128], "dtype": "float32"}, {"name": "dense_1/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_2/kernel", "shape": [128, 10], "dtype": "float32"}, {"name": "dense_2/bias", "shape": [10], "dtype": "float32"}]}]}