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Long short-term memory
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Recurrent neural network architecture
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Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem commonly encountered by traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models, and other sequence learning methods. It aims to provide a short-term memory for RNN...

Subclass of
Recurrent neural network
Discoverer / Inventor
Jürgen Schmidhuber
Wikidata