seq2seq-qa-v2-glove-architecture.json

{"class_name": "Model", "config": {"name": "model_1", "layers": [{"name": "question_inputs", "class_name": "InputLayer", "config": {"batch_input_shape": [null, null, 100], "dtype": "float32", "sparse": false, "name": "question_inputs"}, "inbound_nodes": []}, {"name": "dropout_2", "class_name": "Dropout", "config": {"name": "dropout_2", "trainable": true, "rate": 0.3, "noise_shape": null, "seed": null}, "inbound_nodes": [[["question_inputs", 0, 0, {}]]]}, {"name": "context_inputs", "class_name": "InputLayer", "config": {"batch_input_shape": [null, null, 100], "dtype": "float32", "sparse": false, "name": "context_inputs"}, "inbound_nodes": []}, {"name": "question_lstm", "class_name": "LSTM", "config": {"name": "question_lstm", "trainable": true, "return_sequences": false, "return_state": false, "go_backwards": false, "stateful": false, "unroll": false, "units": 100, "activation": "tanh", "recurrent_activation": "hard_sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "recurrent_initializer": {"class_name": "Orthogonal", "config": {"gain": 1.0, "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "unit_forget_bias": true, "kernel_regularizer": null, "recurrent_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "recurrent_constraint": null, "bias_constraint": null, "dropout": 0.0, "recurrent_dropout": 0.0, "implementation": 1}, "inbound_nodes": [[["dropout_2", 0, 0, {}]]]}, {"name": "dropout_1", "class_name": "Dropout", "config": {"name": "dropout_1", "trainable": true, "rate": 0.3, "noise_shape": null, "seed": null}, "inbound_nodes": [[["context_inputs", 0, 0, {}]]]}, {"name": "repeat_vector_1", "class_name": "RepeatVector", "config": {"name": "repeat_vector_1", "trainable": true, "n": 298}, "inbound_nodes": [[["question_lstm", 0, 0, {}]]]}, {"name": "add_1", "class_name": "Add", "config": {"name": "add_1", "trainable": true}, "inbound_nodes": [[["dropout_1", 0, 0, {}], ["repeat_vector_1", 0, 0, {}]]]}, {"name": "decoder_inputs", "class_name": "InputLayer", "config": {"batch_input_shape": [null, null, 3429], "dtype": "float32", "sparse": false, "name": "decoder_inputs"}, "inbound_nodes": []}, {"name": "encoder_lstm", "class_name": "LSTM", "config": {"name": "encoder_lstm", "trainable": true, "return_sequences": false, "return_state": true, "go_backwards": false, "stateful": false, "unroll": false, "units": 256, "activation": "tanh", "recurrent_activation": "hard_sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "recurrent_initializer": {"class_name": "Orthogonal", "config": {"gain": 1.0, "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "unit_forget_bias": true, "kernel_regularizer": null, "recurrent_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "recurrent_constraint": null, "bias_constraint": null, "dropout": 0.0, "recurrent_dropout": 0.0, "implementation": 1}, "inbound_nodes": [[["add_1", 0, 0, {}]]]}, {"name": "decoder_lstm", "class_name": "LSTM", "config": {"name": "decoder_lstm", "trainable": true, "return_sequences": true, "return_state": true, "go_backwards": false, "stateful": false, "unroll": false, "units": 256, "activation": "tanh", "recurrent_activation": "hard_sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "recurrent_initializer": {"class_name": "Orthogonal", "config": {"gain": 1.0, "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "unit_forget_bias": true, "kernel_regularizer": null, "recurrent_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "recurrent_constraint": null, "bias_constraint": null, "dropout": 0.0, "recurrent_dropout": 0.0, "implementation": 1}, "inbound_nodes": [[["decoder_inputs", 0, 0, {}], ["encoder_lstm", 0, 1, {}], ["encoder_lstm", 0, 2, {}]]]}, {"name": "decoder_dense", "class_name": "Dense", "config": {"name": "decoder_dense", "trainable": true, "units": 3429, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["decoder_lstm", 0, 0, {}]]]}], "input_layers": [["context_inputs", 0, 0], ["question_inputs", 0, 0], ["decoder_inputs", 0, 0]], "output_layers": [["decoder_dense", 0, 0]]}, "keras_version": "2.1.2", "backend": "tensorflow"}