GRU

2000년 도입 · 논문 683편에서 사용

A Gated Recurrent Unit, or GRU, is a type of recurrent neural network. It is similar to an LSTM, but only has two gates - a reset gate and an update gate - and notably lacks an output gate. Fewer parameters means GRUs are generally easier/faster to train than their LSTM counterparts. Image Source: here

출처: Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

소개 논문: Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation