LSTM (Long Short-Term Memory)
An RNN variant with gates that control information flow, enabling learning of long-term dependencies.
In-depth explanation
LSTMs address the vanishing gradient problem of basic RNNs using a cell state and three gates: forget gate (what to discard), input gate (what to add), and output gate (what to output). This architecture allows information to flow unchanged across many time steps, enabling learning of long-range dependencies in sequences.
Examples
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