model.json

{"format": "layers-model", "generatedBy": "keras v2.8.0", "convertedBy": "TensorFlow.js Converter v3.14.0", "modelTopology": {"keras_version": "2.8.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "TransferLearnedModel", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 43, 232, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "conv2d_1_input"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_1", "trainable": false, "batch_input_shape": [null, 43, 232, 1], "dtype": "float32", "filters": 8, "kernel_size": [2, 8], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_1", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_2", "trainable": false, "dtype": "float32", "filters": 32, "kernel_size": [2, 4], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_2", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_3", "trainable": false, "dtype": "float32", "filters": 32, "kernel_size": [2, 4], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_3", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_4", "trainable": false, "dtype": "float32", "filters": 32, "kernel_size": [2, 4], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_4", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [1, 2], "data_format": "channels_last"}}, {"class_name": "Flatten", "config": {"name": "flatten_1", "trainable": false, "dtype": "float32", "data_format": "channels_last"}}, {"class_name": "Dropout", "config": {"name": "dropout_1", "trainable": false, "dtype": "float32", "rate": 0.25, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": false, "dtype": "float32", "units": 2000, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_2", "trainable": false, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 3, "activation": "softmax", "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}}]}}, "training_config": {"loss": "sparse_categorical_crossentropy", "metrics": [[{"class_name": "MeanMetricWrapper", "config": {"name": "acc", "dtype": "float32", "fn": "sparse_categorical_accuracy"}}]], "weighted_metrics": null, "loss_weights": null, "optimizer_config": {"class_name": "SGD", "config": {"name": "SGD", "learning_rate": 0.009999999776482582, "decay": 0.0, "momentum": 0.0, "nesterov": false}}}}, "weightsManifest": [{"paths": ["group1-shard1of2.bin", "group1-shard2of2.bin"], "weights": [{"name": "conv2d_1/kernel", "shape": [2, 8, 1, 8], "dtype": "float32"}, {"name": "conv2d_1/bias", "shape": [8], "dtype": "float32"}, {"name": "conv2d_2/kernel", "shape": [2, 4, 8, 32], "dtype": "float32"}, {"name": "conv2d_2/bias", "shape": [32], "dtype": "float32"}, {"name": "conv2d_3/kernel", "shape": [2, 4, 32, 32], "dtype": "float32"}, {"name": "conv2d_3/bias", "shape": [32], "dtype": "float32"}, {"name": "conv2d_4/kernel", "shape": [2, 4, 32, 32], "dtype": "float32"}, {"name": "conv2d_4/bias", "shape": [32], "dtype": "float32"}, {"name": "dense_1/kernel", "shape": [704, 2000], "dtype": "float32"}, {"name": "dense_1/bias", "shape": [2000], "dtype": "float32"}, {"name": "dense_3/kernel", "shape": [2000, 3], "dtype": "float32"}, {"name": "dense_3/bias", "shape": [3], "dtype": "float32"}]}]}