Long short-term memory (LSTM)

A sophisticated variant of recurrent neural networks, LSTM is designed to remember information over long sequences, like a scribe carefully preserving the most important details, allowing machines to learn and understand intricate patterns that unfold over extended periods of time.

Example

LSTM networks are particularly useful in applications such as speech recognition, where the model needs to analyze and understand long sequences of spoken words. By capturing the temporal dependencies and nuances within the speech, the LSTM can accurately transcribe the spoken words into written text, even when faced with variations in accent, speed, or background noise.