GLOSSARY TERM
What is Long Short-Term Memory?
An RNN architecture designed to learn long-term temporal dependencies.
LSTM networks utilize a memory cell and complex gating mechanisms to regulate information flow. This architecture effectively combats the vanishing gradient problem, enabling the modeling of sequences separated by large temporal gaps.
Process Long Sequences
Harness the power of temporal sequence modeling native to the M1 Layer.