我将有状态LSTM定义为顺序模型:
model = Sequential()
model.add(LSTM(..., stateful=True))
...
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后来,我将它用作功能模型:
input_1, input_2 = Input(...), Input(...)
output_1 = model(input_1)
output_2 = model(input_2) # Is the state from input_1 preserved?
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input_1当我们model再次申请时,input_2是否保留了州 ?如果是,我如何在呼叫之间重置模型状态?
python machine-learning neural-network keras recurrent-neural-network