Where is LSTM used

LSTM, or Long Short-Term Memory networks, are revolutionizing fields like natural language processing, speech recognition, and time series forecasting. Their ability to remember long-term dependencies makes them ideal for tasks where context is key, such as sentiment analysis and stock price prediction.

What is LSTM best used for

LSTM, or Long Short-Term Memory networks, excel in tasks involving sequential data. They shine in applications like language modeling, speech recognition, and time series forecasting, where understanding context and long-range dependencies is crucial for accurate predictions.

What is LSTM in deep learning

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network designed to remember information for extended periods. They excel in tasks involving sequential data, such as language processing and time series prediction, by effectively managing long-range dependencies.