LSTM (Long Short-Term Memory) is a type of recurrent neural network used for processing sequential data. It has the ability to store and access information over a longer period of time, allowing it to handle tasks such as language modeling, speech recognition, and sequence prediction.

Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) that is capable of remembering long-term dependencies in sequential data by using memory cells, gates, and a hidden state to control the flow of information. It is widely used in time series analysis, natural language processing, and other tasks.