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Recurrent Neural Network

concept · part of Neural Networks

A recurrent neural network (RNN) is a type of neural network designed for sequential data, with hidden states that capture information from previous steps. RNNs are used in applications like language modeling and time series prediction.

Inside Recurrent Neural Network (1)

• Hidden State — RNNs use hidden states to maintain memory of previous data, enabling them to capture dependencies over time in sequential data.

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