Long short-term memory (LSTM)

Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) architecture used in the field of deep learning. LSTMs are designed to model temporal sequences and their long-range dependencies more accurately than conventional RNNs. This capability makes LSTMs well-suited for tasks such as speech recognition, language modeling, and time series prediction.