LSTM architecture diagram
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LSTM是一种特殊的递归神经网络(RNN),设计用于解决标准RNN在处理长序列数据时的梯度消失问题。LSTM能够有效地捕捉时间序列中的长期依赖关系,因此在处理自然语言处理、语音识别、时间序列预测等任务中表现出色。
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Candidate memory unit update:
Hidden State Update:
Input Gate:
Forgot Gate:
Output Gate:
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