JavaShuo
欄目
標籤
Effective Approaches to Attention-based Neural Machine Translation論文筆記
時間 2020-12-24
原文
原文鏈接
這篇文章在NMT(Neural machine translation)上嘗試了兩種簡單且有效的注意力機制:一個可以注意所有單詞的全局方法(global approach),和一個只看部分單詞的局部方法(local approach). 1.全局方法類似(Bahdanau et al.2015),但是結構更簡單, 2.局部方法可以看爲是hard和soft注意力機制(Xu et al.,2015)的
>>阅读原文<<
相關文章
1.
【論文筆記】Effective Approaches to Attention-based Neural Machine Translation
2.
論文筆記(Attention 2)-----Effective Approaches to Attention-based Neural Machine Translation
3.
[EMNLP2015]Effective Approaches to Attention-based Neural Machine Translation
4.
Effective Approaches to Attention-based Neural Machine Translation 學習筆記
5.
Paper:Effective Approaches to Attention-based Neural Machine Translation
6.
【論文】on the properties of neural machine translation :Encoder-decoder approaches 閱讀筆記
7.
多標籤分類:Effective Approaches to Attention-based Neural Machine Translation
8.
Effective Approaches to Attention-based Neural Machine Translation之每日一篇
9.
論文筆記(attention 1)----NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
10.
Neural machine translation by jointly learning to align and translate論文閱讀筆記
更多相關文章...
•
Docker Machine
-
Docker教程
•
ASP.NET Razor - 標記
-
ASP.NET 教程
•
Tomcat學習筆記(史上最全tomcat學習筆記)
•
Scala 中文亂碼解決
相關標籤/搜索
論文筆記
approaches
machine
translation
neural
effective
論文
論文閱讀筆記
文筆
筆記
MyBatis教程
PHP教程
MySQL教程
文件系統
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
python的安裝和Hello,World編寫
2.
重磅解讀:K8s Cluster Autoscaler模塊及對應華爲雲插件Deep Dive
3.
鴻蒙學習筆記2(永不斷更)
4.
static關鍵字 和構造代碼塊
5.
JVM筆記
6.
無法啓動 C/C++ 語言服務器。IntelliSense 功能將被禁用。錯誤: Missing binary at c:\Users\MSI-NB\.vscode\extensions\ms-vsc
7.
【Hive】Hive返回碼狀態含義
8.
Java樹形結構遞歸(以時間換空間)和非遞歸(以空間換時間)
9.
數據預處理---缺失值
10.
都要2021年了,現代C++有什麼值得我們學習的?
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
【論文筆記】Effective Approaches to Attention-based Neural Machine Translation
2.
論文筆記(Attention 2)-----Effective Approaches to Attention-based Neural Machine Translation
3.
[EMNLP2015]Effective Approaches to Attention-based Neural Machine Translation
4.
Effective Approaches to Attention-based Neural Machine Translation 學習筆記
5.
Paper:Effective Approaches to Attention-based Neural Machine Translation
6.
【論文】on the properties of neural machine translation :Encoder-decoder approaches 閱讀筆記
7.
多標籤分類:Effective Approaches to Attention-based Neural Machine Translation
8.
Effective Approaches to Attention-based Neural Machine Translation之每日一篇
9.
論文筆記(attention 1)----NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
10.
Neural machine translation by jointly learning to align and translate論文閱讀筆記
>>更多相關文章<<