Long Short-Term Memory

Sat, 18 Jul 2026 09:41:26 +0000

Definition

LSTM networks address the vanishing gradient problem common in standard RNNs by using a cell state and three gating mechanisms: input, forget, and output gates. These gates regulate the flow of information, allowing the network to remember important details over long sequences and forget irrelevant ones. This architecture is particularly effective for tasks involving time-series prediction, natural language processing, and speech recognition where context duration matters.

Summary

A specialized recurrent neural network architecture designed to learn long-term dependencies in sequential data.

RNN on English AI Terms Dictionary

Long Short-Term Memory

Definition

Summary