LSTM Gating Mechanism
The discussion highlights the innovative gating mechanism of LSTM, which balances the storage of new information while protecting existing data. The input gate functions like an early attention mechanism, selectively determining which sequence elements to retain. Compared to traditional RNNs, LSTM maintains linear complexity, making it more efficient than transformers, which face quadratic complexity challenges.In this clip
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Machine Learning Street Talk (MLST)
Sepp Hochreiter - LSTM: The Comeback Story?
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