model.json

{"layers": [{"U_regularizer": null, "name": "LSTM", "custom_name": "lstm", "inner_activation": "hard_sigmoid", "go_backwards": false, "activation": "tanh", "trainable": true, "input_shape": [20, 51], "stateful": false, "cache_enabled": true, "init": "glorot_uniform", "inner_init": "orthogonal", "dropout_U": 0.0, "dropout_W": 0.0, "input_dim": 51, "return_sequences": true, "b_regularizer": null, "W_regularizer": null, "output_dim": 128, "forget_bias_init": "one", "input_length": null}, {"U_regularizer": null, "name": "LSTM", "custom_name": "lstm", "inner_activation": "hard_sigmoid", "go_backwards": false, "activation": "tanh", "trainable": true, "stateful": false, "cache_enabled": true, "init": "glorot_uniform", "inner_init": "orthogonal", "dropout_U": 0.0, "dropout_W": 0.0, "input_dim": 128, "return_sequences": false, "b_regularizer": null, "W_regularizer": null, "output_dim": 128, "forget_bias_init": "one", "input_length": null}, {"W_constraint": null, "b_constraint": null, "name": "Dense", "custom_name": "dense", "activity_regularizer": null, "trainable": true, "cache_enabled": true, "init": "glorot_uniform", "activation": "linear", "input_dim": null, "b_regularizer": null, "W_regularizer": null, "output_dim": 51}, {"cache_enabled": true, "activation": "softmax", "trainable": true, "name": "Activation", "custom_name": "activation"}], "loss": "categorical_crossentropy", "optimizer": {"epsilon": 1e-06, "lr": 0.0010000000474974513, "name": "RMSprop", "rho": 0.8999999761581421}, "name": "Sequential", "sample_weight_mode": null}