論文閱讀：Sequence to Sequence Learning with Neural Networks
論文閱讀：Sequence to Sequence Learning with Neural Networks 一、Abstract 先提DNN的缺點：不能用於將序列映射到序列。 於是這篇論文以機器翻譯爲例，首先通過一個多層的LSTM將輸入的語言序列（源序列）轉化爲特定維度的向量，然後另一個深層LSTM將此向量解碼成相應的另一語言序列（目標序列）。 網上的一種理解：假設要將中文翻譯成法語，那麼首先
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- 4. Paper：Sequence to Sequence Learning with Neural Networks
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相關文章
- 1. 【論文閱讀】Sequence to Sequence Learning with Neural Networks
- 2. 【論文閱讀】Sequence to Sequence Learning with Neural Network
- 3. Sutskever2014_Sequence to Sequence Learning with Neural Networks
- 4. Paper：Sequence to Sequence Learning with Neural Networks
- 5. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
- 6. 《Sequence to Sequence Learning with Neural Networks》閱讀筆記
- 7. Sequence to Sequence Learning with Neural Networks 論文內容介紹
- 8. Sequence to Sequence Learning with Neural Networks論文翻譯
- 9. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 10. Sequence to Sequence Learning with Neural Networks學習筆記