Added final extracted model with weights

final_model/model.json

@@ -0,0 +1 @@
+{"class_name": "Functional", "config": {"name": "functional_1", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 341, 513, 2], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "Conv2D", "config": {"name": "conv1", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "HeNormal", "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": "conv1", "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "conv2d", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3, 3], "strides": [1, 2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "HeNormal", "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": "conv2d", "inbound_nodes": [[["conv1", 0, 0, {}]]]}, {"class_name": "TimeDistributed", "config": {"name": "time_distributed", "trainable": true, "dtype": "float32", "layer": {"class_name": "Flatten", "config": {"name": "flatten", "trainable": true, "dtype": "float32", "data_format": "channels_last"}}}, "name": "time_distributed", "inbound_nodes": [[["conv2d", 0, 0, {}]]]}, {"class_name": "TCN", "config": {"name": "tcn1", "trainable": true, "dtype": "float32", "nb_filters": 20, "kernel_size": 6, "nb_stacks": 2, "dilations": [1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, 16384], "padding": "same", "use_skip_connections": false, "dropout_rate": 0.05, "return_sequences": false, "activation": "relu", "use_batch_norm": false, "use_layer_norm": false, "kernel_initializer": "he_normal"}, "name": "tcn1", "inbound_nodes": [[["time_distributed", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization", "trainable": true, "dtype": "float32", "axis": [1], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization", "inbound_nodes": [[["tcn1", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 10, "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}, "name": "dense", "inbound_nodes": [[["batch_normalization", 0, 0, {}]]]}], "input_layers": [["input_1", 0, 0]], "output_layers": [["dense", 0, 0]]}, "keras_version": "2.4.0", "backend": "tensorflow"}