Spaces:
Running
Running
{"class_name": "Functional", "config": {"name": "model_12", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_34"}, "name": "input_34", "inbound_nodes": []}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_35"}, "name": "input_35", "inbound_nodes": []}, {"class_name": "Sequential", "config": {"name": "sequential_45", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "dense_161_input"}}, {"class_name": "Dense", "config": {"name": "dense_161", "trainable": true, "dtype": "float32", "units": 20, "activation": "relu", "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}}, {"class_name": "Dense", "config": {"name": "dense_162", "trainable": true, "dtype": "float32", "units": 80, "activation": "relu", "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}}, {"class_name": "Dense", "config": {"name": "dense_163", "trainable": true, "dtype": "float32", "units": 400, "activation": "relu", "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": "sequential_45", "inbound_nodes": [[["input_34", 0, 0, {}]]]}, {"class_name": "Sequential", "config": {"name": "sequential_46", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "dense_165_input"}}, {"class_name": "Dense", "config": {"name": "dense_165", "trainable": true, "dtype": "float32", "units": 20, "activation": "relu", "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}}, {"class_name": "Dense", "config": {"name": "dense_166", "trainable": true, "dtype": "float32", "units": 80, "activation": "relu", "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}}, {"class_name": "Dense", "config": {"name": "dense_167", "trainable": true, "dtype": "float32", "units": 400, "activation": "relu", "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": "sequential_46", "inbound_nodes": [[["input_35", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_164", "trainable": true, "dtype": "float32", "units": 10, "activation": "relu", "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_164", "inbound_nodes": [[["sequential_45", 1, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_168", "trainable": true, "dtype": "float32", "units": 10, "activation": "linear", "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_168", "inbound_nodes": [[["sequential_46", 1, 0, {}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate_12", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate_12", "inbound_nodes": [[["dense_164", 0, 0, {}], ["dense_168", 0, 0, {}]]]}, {"class_name": "Sequential", "config": {"name": "sequential_47", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 20], "dtype": "float32", "sparse": false, "ragged": false, "name": "dense_169_input"}}, {"class_name": "Dense", "config": {"name": "dense_169", "trainable": true, "dtype": "float32", "units": 80, "activation": "relu", "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}}, {"class_name": "Dense", "config": {"name": "dense_170", "trainable": true, "dtype": "float32", "units": 400, "activation": "relu", "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}}, {"class_name": "Dense", "config": {"name": "dense_171", "trainable": true, "dtype": "float32", "units": 200, "activation": "relu", "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}}, {"class_name": "Dropout", "config": {"name": "dropout_18", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_172", "trainable": true, "dtype": "float32", "units": 800, "activation": "relu", "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}}, {"class_name": "Dropout", "config": {"name": "dropout_19", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_173", "trainable": true, "dtype": "float32", "units": 80, "activation": "relu", "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": "sequential_47", "inbound_nodes": [[["concatenate_12", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_174", "trainable": true, "dtype": "float32", "units": 4, "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_174", "inbound_nodes": [[["sequential_47", 1, 0, {}]]]}], "input_layers": [["input_34", 0, 0], ["input_35", 0, 0]], "output_layers": [["dense_174", 0, 0]]}, "keras_version": "2.8.0", "backend": "tensorflow"} |