Long-Short-Term Memory Networks | PythonGUI

Long-Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) designed to learn and remember from sequences of data. It effectively retains information over long periods while discarding irrelevant data, making it ideal for tasks like language modeling, speech recognition, and time series prediction. LSTMs mitigate the vanishing gradient problem, enhancing performance in complex temporal patterns. For more information, visit PythonGUI.

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