LSTM

Browse all content tagged with LSTM

Glossary

Long Short-Term Memory (LSTM)

Long Short-Term Memory (LSTM) is a specialized type of Recurrent Neural Network (RNN) architecture designed to learn long-term dependencies in sequential data. LSTM networks utilize memory cells and gating mechanisms to address the vanishing gradient problem, making them essential for tasks such as language modeling, speech recognition, and time series forecasting.

Deep Learning LSTM RNN +4
• 7 min read
Glossary

Sequence Modeling

Discover sequence modeling in AI and machine learning—predict and generate sequences in data like text, audio, and DNA using RNNs, LSTMs, GRUs, and Transformers. Explore key concepts, applications, challenges, and recent research.

Sequence Modeling RNN LSTM +6
• 7 min read

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