person Author: Process Fellows
A Long Short-Term Memory (LSTM) network is a type of recurrent neural network designed to remember information over long periods of time. Unlike regular neural networks, LSTMs can keep track of what they learned earlier in a sequence, which helps them understand patterns that unfold over time. This makes them very useful for things like speech recognition, language translation, or predicting time-based data, where past information is important for understanding what comes next.