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add a trained model based on the paper
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lhuang-pvamu committed Mar 1, 2019
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{"class_name": "Model", "config": {"name": "model", "layers": [{"name": "input_1", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 1001, 3], "dtype": "float32", "sparse": false, "name": "input_1"}, "inbound_nodes": []}, {"name": "conv1d", "class_name": "Conv1D", "config": {"name": "conv1d", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3], "strides": [2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"name": "conv1d_1", "class_name": "Conv1D", "config": {"name": "conv1d_1", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3], "strides": [2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv1d", 0, 0, {}]]]}, {"name": "conv1d_2", "class_name": "Conv1D", "config": {"name": "conv1d_2", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3], "strides": [2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv1d_1", 0, 0, {}]]]}, {"name": "conv1d_3", "class_name": "Conv1D", "config": {"name": "conv1d_3", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3], "strides": [2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv1d_2", 0, 0, {}]]]}, {"name": "conv1d_4", "class_name": "Conv1D", "config": {"name": "conv1d_4", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3], "strides": [2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv1d_3", 0, 0, {}]]]}, {"name": "conv1d_5", "class_name": "Conv1D", "config": {"name": "conv1d_5", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3], "strides": [2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv1d_4", 0, 0, {}]]]}, {"name": "conv1d_6", "class_name": "Conv1D", "config": {"name": "conv1d_6", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3], "strides": [2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv1d_5", 0, 0, {}]]]}, {"name": "conv1d_7", "class_name": "Conv1D", "config": {"name": "conv1d_7", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3], "strides": [2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv1d_6", 0, 0, {}]]]}, {"name": "flatten", "class_name": "Flatten", "config": {"name": "flatten", "trainable": true, "dtype": "float32", "data_format": "channels_last"}, "inbound_nodes": [[["conv1d_7", 0, 0, {}]]]}, {"name": "dense", "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, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["flatten", 0, 0, {}]]]}, {"name": "dense_1", "class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 7, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.009999999776482582}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["dense", 0, 0, {}]]]}], "input_layers": [["input_1", 0, 0]], "output_layers": [["dense_1", 0, 0]]}, "keras_version": "2.1.6-tf", "backend": "tensorflow"}

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