LSTM solves the problem of
1. Forget gate
2. reset gate
3. Vanishing gradient
4. Cross entropy loss
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LSTM (short for long short-term memory) primarily solves the vanishing gradient problem in backpropagation. LSTMs use a gating mechanism that controls the memoizing process. Information in LSTMs can be stored, written, or read via gates that open and close.
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