Recurrent Neural Network (RNN)
A neural network architecture with loops that process sequential data by maintaining hidden state across time steps.
In more detail
RNNs process sequences one element at a time, maintaining a hidden state that captures information about previous inputs. Variations include LSTM and GRU which address the vanishing gradient problem. Used for time series, language processing, and any sequential data.
Examples
- Language modeling
- Machine translation
- Speech recognition
- Time series forecasting
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