Keras return_state和return_sequences

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1.常见的4中结构

• one to one:
  • model.add(Dense(output_size, input_shape=input_shape))
• one to many:
  • model.add(RepeatVector(number_of_times, input_shape=input_shape))
model.add(LSTM(output_size, return_sequences=True))
• many to one:
  • model = Sequential()
model.add(LSTM(1, input_shape=(timesteps, data_dim)))
• many to many:
  • model = Sequential()
model.add(LSTM(1, input_shape=(timesteps, data_dim), return_sequences=True))

ref:https://stackoverflow.com/questions/43034960/many-to-one-and-many-to-many-lstm-examples-in-keras

2.return_sequences 和 return_state

return_sequences：

• 每一步都有隐藏状态 a，不同结构计算方式不同
• 默认FALSE，为TRUE时可以达到 *-to-many的效果

return_state：

• state指的是cell里的 c
• 默认FALSE，为TRUE时可以输出最后一个state
• ref有详述:https://www.dlology.com/blog/how-to-use-return_state-or-return_sequences-in-keras/