(26)[ICLR15] NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
計劃完成深度學習入門的126篇論文第二十六篇，蒙特利爾大學的KyungHyun Cho和Yoshua Bengio領導研究的新的機器翻譯的方法JOINTLY LEARNING TO ALIGN AND TRANSLATE。 ABSTRACT&INTRODUCTION 摘要 神經機器翻譯是近年來提出的一種機器翻譯方法。與傳統的統計機器翻譯不同，神經機器翻譯的目的是建立一個單一的神經網絡，可以共同調整
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- 1. Neural Machine Translation by Jointly Learning to Align and Translate
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相關文章
- 1. Neural Machine Translation by Jointly Learning to Align and Translate
- 2. NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
- 3. Neural Machine Translation by Jointly Learning to Align and....
- 4. Paper Reading: Neural Machine Translation by Jointly Learning to Align and Translate
- 5. neural machine translation by jointly learning to align and translate閱讀
- 6. 論文閱讀《NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE》
- 7. Neural Machine Translation by Jointly Learning to Align and Translate閱讀筆記
- 8. 論文閱讀：《Neural Machine Translation by Jointly Learning to Align and Translate》
- 9. 《Neural Machine Translation by Jointly Learning to Align and Translate》閱讀筆記
- 10. attention model--Neural machine translation by jointly learning to align and translate論文解讀