多输入多输出的lstm的代码
时间: 2023-11-09 22:09:16 浏览: 32
多输入多输出LSTM的代码可以参考Keras官方示例,可以参考以下示例:from keras.layers import Input, LSTM, Dense# Define the input and output layers
inputs1 = Input(shape=(timesteps, input_dim))
lstm1 = LSTM(32)(inputs1)
dense1 = Dense(1, activation='sigmoid')(lstm1)inputs2 = Input(shape=(timesteps, input_dim))
lstm2 = LSTM(32)(inputs2)
dense2 = Dense(1, activation='sigmoid')(lstm2)# Combine the input and output layers
merged = concatenate([dense1, dense2])# Define the output layer
predictions = Dense(1, activation='sigmoid')(merged)# Compile and fit the model
model = Model(inputs=[inputs1, inputs2], outputs=predictions)
model.compile(optimizer='rmsprop',
loss='binary_crossentropy',
metrics=['accuracy'])
model.fit([data_1, data_2], labels, epochs=10)
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