Schematic diagram of a detailed explanation of the LSTM variant. Through the design of these three gates (input gate, forget gate, output gate) and a cell state, LSTM effectively solves the gradient disappearance and gradient explosion problems that exist in traditional RNN when processing long sequence data, and can better capture and utilize long-term dependencies.
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