Definition
A type of recurrent neural network (RNN) that uses two gating mechanisms (reset and update) to capture dependencies in sequential data more efficiently than standard RNNs.
In short: A type of recurrent neural network (RNN) that uses two gating mechanisms (reset and update) to capture dependencies in sequential data more efficiently than standard RNNs.