[論文閱讀筆記] Massive Exploration of Neural Machine Translation Architectures
最近想要看看Attention的機制，然後被網上博客引到這個論文，想要了解一下NMT（Neural Machine Translation）的架構。這篇paper沒有發表在會議上，出自Google Brain，並公開了seq2seq的NMT框架代碼。個人覺得文中的結論不太可信，但是對於NMT的介紹還是足夠清晰。這裏記錄一些文中有意思的點，以及一些筆者自己的思考，歡迎指教。 NMT框架 詳見文中Se
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相關文章
- 1. 【論文】on the properties of neural machine translation :Encoder-decoder approaches 閱讀筆記
- 2. Neural machine translation by jointly learning to align and translate論文閱讀筆記
- 3. 論文 Non-Parametric Adaptation for Neural Machine Translation閱讀筆記
- 4. 論文閱讀筆記《Meta-Learning of Neural Architectures for Few-Shot Learning》
- 5. 論文閱讀——Toward Making the Most of Context in Neural Machine Translation
- 6. Machine Learning & Deep Learning 論文閱讀筆記
- 7. 文獻閱讀筆記：Phrase-Based & Neural Unsupervised Machine Translation
- 8. 【論文閱讀】Neural Machine Translation By Jointly Learning To Align and Translate
- 9. 論文閱讀：ByteNet, Neural Machine Translation in Linear Time
- 10. 論文閱讀——Unsupervised Neural Machine Translation with Indirect Supervision