What is Gated Recurrent Unit (GRU)?
Gated Recurrent Unit (GRU) is a type of
recurrent neural network (RNN) architecture that is designed to capture long-term dependencies in sequential data. GRUs have gating mechanisms that control the flow of information within the network, allowing them to selectively update and forget information over time. They are commonly used in tasks such as language modeling and speech recognition.
