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What is Understanding LSTM Networks about?

LSTM (Long Short Term Memory) networks are a specialized type of recurrent neural network (RNN) designed to learn long-term dependencies and address the vanishing gradient problem. They utilize a complex architecture with cell states and gating mechanisms to control information flow, allowing for effective learning over longer sequences. The LSTM structure includes components such as forget gates, input gates, and output gates that manage the retention and output of information.

Author

heisenberganaya1

Language

EN