Long Short-Term Memory (LSTM)
LSTMs are RNN architectures that effectively learn long-term dependencies, making them ideal for sequence prediction and NLP tasks.
Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) architecture designed to overcome the limitations of traditional RNNs in learning long-term dependencies. LSTMs use special gating mechanisms to control the flow of information, making them effective for tasks like sequence prediction, natural language processing, and time series analysis.