long short-term memory (lstm)

Long short-term memory (LSTM) is a type of recurrent neural network (RNN) architecture that improves the ability of the network to remember long-term dependencies and make accurate predictions. It achieves this by introducing a memory cell that allows the network to retain and selectively forget information over varying time intervals, enabling it to effectively process and store important information for longer periods of time.

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