invertnet-hackathon / config.json
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Update config.json
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{"task_specific_params": {"default": {"file_path": null}, "": {"file_path": null}}, "name": "model_1", "trainable": true, "layers": [{"module": "keras.layers", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 9000], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "registered_name": null, "name": "input_3", "inbound_nodes": []}, {"module": "keras.layers", "class_name": "Reshape", "config": {"name": "reshape_1", "trainable": true, "dtype": "float32", "target_shape": [750, 12]}, "registered_name": null, "name": "reshape_1", "inbound_nodes": [[["input_3", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Conv1D", "config": {"name": "conv1d_3", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [7], "strides": [1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"module": "keras.initializers", "class_name": "GlorotUniform", "config": {"seed": null}, "registered_name": null}, "bias_initializer": {"module": "keras.initializers", "class_name": "Zeros", "config": {}, "registered_name": null}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "registered_name": null, "build_config": {"input_shape": [null, 750, 12]}, "name": "conv1d_3", "inbound_nodes": [[["reshape_1", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "MaxPooling1D", "config": {"name": "max_pooling1d_3", "trainable": true, "dtype": "float32", "strides": [3], "pool_size": [3], "padding": "valid", "data_format": "channels_last"}, "registered_name": null, "name": "max_pooling1d_3", "inbound_nodes": [[["conv1d_3", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Conv1D", "config": {"name": "conv1d_4", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [7], "strides": [1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"module": "keras.initializers", "class_name": "GlorotUniform", "config": {"seed": null}, "registered_name": null}, "bias_initializer": {"module": "keras.initializers", "class_name": "Zeros", "config": {}, "registered_name": null}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "registered_name": null, "build_config": {"input_shape": [null, 248, 16]}, "name": "conv1d_4", "inbound_nodes": [[["max_pooling1d_3", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "MaxPooling1D", "config": {"name": "max_pooling1d_4", "trainable": true, "dtype": "float32", "strides": [3], "pool_size": [3], "padding": "valid", "data_format": "channels_last"}, "registered_name": null, "name": "max_pooling1d_4", "inbound_nodes": [[["conv1d_4", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Conv1D", "config": {"name": "conv1d_5", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [7], "strides": [1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"module": "keras.initializers", "class_name": "GlorotUniform", "config": {"seed": null}, "registered_name": null}, "bias_initializer": {"module": "keras.initializers", "class_name": "Zeros", "config": {}, "registered_name": null}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "registered_name": null, "build_config": {"input_shape": [null, 80, 16]}, "name": "conv1d_5", "inbound_nodes": [[["max_pooling1d_4", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "MaxPooling1D", "config": {"name": "max_pooling1d_5", "trainable": true, "dtype": "float32", "strides": [3], "pool_size": [3], "padding": "valid", "data_format": "channels_last"}, "registered_name": null, "name": "max_pooling1d_5", "inbound_nodes": [[["conv1d_5", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Flatten", "config": {"name": "flatten_1", "trainable": true, "dtype": "float32", "data_format": "channels_last"}, "registered_name": null, "name": "flatten_1", "inbound_nodes": [[["max_pooling1d_5", 0, 0, {}]]]}, {"module": "keras.layers", "class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"module": "keras.initializers", "class_name": "GlorotUniform", "config": {"seed": null}, "registered_name": null}, "bias_initializer": {"module": "keras.initializers", "class_name": "Zeros", "config": {}, "registered_name": null}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "registered_name": null, "build_config": {"input_shape": [null, 384]}, "name": "dense_1", "inbound_nodes": [[["flatten_1", 0, 0, {}]]]}], "input_layers": [["input_3", 0, 0]], "output_layers": [["dense_1", 0, 0]]}