model.json

{"format": "layers-model", "generatedBy": "keras v2.4.0", "convertedBy": "TensorFlow.js Converter v2.8.0", "modelTopology": {"keras_version": "2.4.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 24], "dtype": "float32", "sparse": false, "ragged": false, "name": "embedding_input"}}, {"class_name": "Embedding", "config": {"name": "embedding", "trainable": true, "batch_input_shape": [null, 24], "dtype": "float32", "input_dim": 41, "output_dim": 200, "embeddings_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "embeddings_regularizer": null, "activity_regularizer": null, "embeddings_constraint": null, "mask_zero": false, "input_length": 24}}, {"class_name": "Dropout", "config": {"name": "dropout", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Conv1D", "config": {"name": "conv1d", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [3], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Conv1D", "config": {"name": "conv1d_1", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [3], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling1D", "config": {"name": "max_pooling1d", "trainable": true, "dtype": "float32", "strides": [3], "pool_size": [3], "padding": "valid", "data_format": "channels_last"}}, {"class_name": "Dropout", "config": {"name": "dropout_1", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Conv1D", "config": {"name": "conv1d_2", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [3], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Conv1D", "config": {"name": "conv1d_3", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [3], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling1D", "config": {"name": "max_pooling1d_1", "trainable": true, "dtype": "float32", "strides": [3], "pool_size": [3], "padding": "valid", "data_format": "channels_last"}}, {"class_name": "Conv1D", "config": {"name": "conv1d_4", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": [3], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Conv1D", "config": {"name": "conv1d_5", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": [3], "strides": [1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "RandomUniform", "config": {"minval": -0.05, "maxval": 0.05, "seed": null}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "GlobalAveragePooling1D", "config": {"name": "global_average_pooling1d", "trainable": true, "dtype": "float32", "data_format": "channels_last"}}, {"class_name": "Dropout", "config": {"name": "dropout_2", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "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": "binary_crossentropy", "metrics": ["acc"], "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": ["blabrecs/group1-shard1of1.bin"], "weights": [{"name": "conv1d/kernel", "shape": [3, 200, 64], "dtype": "float32"}, {"name": "conv1d/bias", "shape": [64], "dtype": "float32"}, {"name": "conv1d_1/kernel", "shape": [3, 64, 64], "dtype": "float32"}, {"name": "conv1d_1/bias", "shape": [64], "dtype": "float32"}, {"name": "conv1d_2/kernel", "shape": [3, 64, 64], "dtype": "float32"}, {"name": "conv1d_2/bias", "shape": [64], "dtype": "float32"}, {"name": "conv1d_3/kernel", "shape": [3, 64, 64], "dtype": "float32"}, {"name": "conv1d_3/bias", "shape": [64], "dtype": "float32"}, {"name": "conv1d_4/kernel", "shape": [3, 64, 128], "dtype": "float32"}, {"name": "conv1d_4/bias", "shape": [128], "dtype": "float32"}, {"name": "conv1d_5/kernel", "shape": [3, 128, 128], "dtype": "float32"}, {"name": "conv1d_5/bias", "shape": [128], "dtype": "float32"}, {"name": "dense/kernel", "shape": [128, 1], "dtype": "float32"}, {"name": "dense/bias", "shape": [1], "dtype": "float32"}, {"name": "embedding/embeddings", "shape": [41, 200], "dtype": "float32"}]}]}