attention 썸네일형 리스트형 [NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE] Attention 논문 리뷰 [NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE] Attention https://arxiv.org/abs/1409.0473 Neural Machine Translation by Jointly Learning to Align and Translate Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network tha.. 더보기 [Transformer: Attention Is All You Need] 논문리뷰 Paper: Attention Is All You Need The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new arxiv.org Abstract 논문 발표 당시 주도하던 *sequence transduction 모델은 encoder와 decoder를 포함한 복잡한 recurrent (RNN) 혹은 conv.. 더보기 이전 1 다음
