What is Long Short-Term Memory (LSTM) in Deep Learning?
Long Short-Term Memory (LSTM) is a type of
recurrent neural network architecture designed to overcome the vanishing gradient problem in traditional RNNs. LSTM networks have a memory cell that allows them to retain information for long periods, making them effective for sequence modeling and time-series analysis.
