基於CNN的Seq2Seq模型-Convolutional Sequence to Sequence Learning
Seq2seq是如今使用普遍的一種序列到序列的深度學習算法，在圖像、語音和NLP，好比：機器翻譯、機器閱讀、語音識別、智能對話和文檔摘要生成等，都有普遍的應用。Seq2Seq模由encoder和decoder兩個部分來構成，假設模型的訓練樣本爲（X,Y），encoder負責把輸入X映射到隱向量Z，再由decoder把Z映射到輸出Y。如今大多數場景下使用的Seq2Seq模型基於RNN構成的，雖然取
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相關文章
- 1. <模型彙總-7>基於CNN的Seq2Seq模型-Convolutional Sequence to Sequence Learning
- 2. Convolutional Sequence to Sequence Learning 論文筆記
- 3. Seq2Seq系列（二）:Sequence to Sequence
- 4. Write a Sequence to Sequence (seq2seq) Model
- 5. Convolutional Sequence to Sequence Learning學習心得
- 6. Paper Reading - Convolutional Sequence to Sequence Learning ( CoRR 2017 ) ★
- 7. sequence to sequence模型
- 8. Incorporating Copying Mechanism in Sequence-to-Sequence Learning
- 9. 【讀】seq2seq——（8）A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for TextSum
- 10. [ACL2016] Incorporating Copying Mechanism in Sequence-to-Sequence Learning