【論文閱讀】Sequence to Sequence Learning with Neural Networks
看論文時查的知識點 前饋神經網絡就是一層的節點只有前面一層作爲輸入，並輸出到後面一層，自身之間、與其它層之間都沒有聯繫，由於數據是一層層向前傳播的，因此稱爲前饋網絡。 BP網絡是最常見的一種前饋網絡，BP體現在運作機制上，數據輸入後，一層層向前傳播，然後計算損失函數，得到損失函數的殘差，然後把殘差向後一層層傳播。 卷積神經網絡是根據人的視覺特性，認爲視覺都是從局部到全局認知的，因此不全部採用全連接
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
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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