Conceptual

Long Short-Term Memory (LSTM) Networks

A type of recurrent neural network designed to learn long-range dependencies in sequences by maintaining a cell state regulated by input, forget, and output gates. The gating mechanism mitigates the vanishing-gradient problem of plain RNNs, making LSTMs a standard building block for sequence modeling tasks such as language and speech.