Long Short-Term Memory
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May 1, 2024
3 minute read
**Long Short-Term Memory (LSTM)** is a type of recurrent neural network (RNN) architecture designed to address the vanishing gradient problem common in traditional RNNs. LSTMs introduce a memory cell that stores long-term dependencies and gates that control the flow of information in the network, enabling it to process sequential data with long-term dependencies more effectively.
Applications of LSTM
LSTMs have gained widespread adoption in various domains, including:
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