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RNN-model/model.json

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+{"class_name": "Sequential", "keras_version": "1.1.1", "config": [{"class_name": "Embedding", "config": {"trainable": true, "name": "embedding_1", "activity_regularizer": null, "W_constraint": null, "init": "uniform", "input_dtype": "int32", "mask_zero": false, "input_dim": 64, "batch_input_shape": [null, 82], "W_regularizer": null, "dropout": 0.0, "output_dim": 64, "input_length": 82}}, {"class_name": "GRU", "config": {"U_regularizer": null, "name": "gru_1", "inner_activation": "hard_sigmoid", "go_backwards": false, "output_dim": 256, "trainable": true, "unroll": false, "consume_less": "cpu", "stateful": false, "init": "glorot_uniform", "inner_init": "orthogonal", "dropout_U": 0.0, "dropout_W": 0.0, "input_dim": 64, "return_sequences": true, "b_regularizer": null, "W_regularizer": null, "activation": "sigmoid", "input_length": null}}, {"class_name": "GRU", "config": {"U_regularizer": null, "name": "gru_2", "inner_activation": "hard_sigmoid", "go_backwards": false, "output_dim": 256, "trainable": true, "unroll": false, "consume_less": "cpu", "stateful": false, "init": "glorot_uniform", "inner_init": "orthogonal", "dropout_U": 0.0, "dropout_W": 0.0, "input_dim": 256, "return_sequences": true, "b_regularizer": null, "W_regularizer": null, "activation": "sigmoid", "input_length": null}}, {"class_name": "TimeDistributed", "config": {"layer": {"class_name": "Dense", "config": {"W_constraint": null, "b_constraint": null, "name": "dense_1", "activity_regularizer": null, "trainable": true, "init": "glorot_uniform", "bias": true, "input_dim": null, "b_regularizer": null, "W_regularizer": null, "activation": "softmax", "output_dim": 64}}, "trainable": true, "name": "timedistributed_1"}}]}