Deep Learning

Gated Recurrent Unit

A recurrent network designed to retain information across long sequences.

A gated recurrent unit uses update and reset gates to control how much previous information should be retained or replaced. These gates help the model maintain useful context across long sequences.

GRUs are simpler than LSTMs because they use fewer gates and parameters. They can therefore train faster while achieving similar performance on many sequence tasks.

Also in Deep Learning

CNN RNN LSTM Transformers Auto Encoders Deep RL

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