Convolutional Sequence to Sequence Learning学习心得

时间 2020-12-23

标签自然语言处理繁體版

原文原文链接

1 为什么使用CNN学习序列表示和RNN相比，CNN产生的背景向量固定并且通过stacking 可以使 contex size 更大，如下图。和RNN相比，CNN产生的背景向量固定并且通过stacking 可以使 contex size 更大，如上图。 Hierarchy representation 如图1，只需要三次CNN operation ,而需要 7 次 rnn 才能覆盖整个句子

>>阅读原文<<

1. Convolutional Sequence to Sequence Learning 论文笔记
2. Paper Reading - Convolutional Sequence to Sequence Learning ( CoRR 2017 ) ★
3. 【论文阅读】Convolutional Sequence to Sequence Learning （未完待续）
4. 基于CNN的Seq2Seq模型-Convolutional Sequence to Sequence Learning
5. Incorporating Copying Mechanism in Sequence-to-Sequence Learning
6. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
7. [ACL2016] Incorporating Copying Mechanism in Sequence-to-Sequence Learning
8. Deep learning From Image to Sequence
9. Sequence to Sequence Learning with Neural Networks学习笔记
10. Attentive Sequence to Sequence Networks
更多相关文章...
• XML Schema sequence 元素 - XML Schema 教程
• XSL-FO page-sequence-master 对象 - XSL-FO 教程
• Tomcat学习笔记（史上最全tomcat学习笔记）
• Kotlin学习（二）基本类型

最新文章

1. Appium入门
2. Spring WebFlux 源码分析(2)-Netty 服务器启动服务流程 --TBD
3. wxpython入门第六步（高级组件）
4. CentOS7.5安装SVN和可视化管理工具iF.SVNAdmin
5. jedis 3.0.1中JedisPoolConfig对象缺少setMaxIdle、setMaxWaitMillis等方法，问题记录
6. 一步一图一代码，一定要让你真正彻底明白红黑树
7. 2018-04-12—（重点）源码角度分析Handler运行原理
8. Spring AOP源码详细解析
9. Spring Cloud（1）
10. python简单爬去油价信息发送到公众号

本站公众号

欢迎关注本站公众号,获取更多信息

1. Convolutional Sequence to Sequence Learning 论文笔记
2. Paper Reading - Convolutional Sequence to Sequence Learning ( CoRR 2017 ) ★
3. 【论文阅读】Convolutional Sequence to Sequence Learning （未完待续）
4. 基于CNN的Seq2Seq模型-Convolutional Sequence to Sequence Learning
5. Incorporating Copying Mechanism in Sequence-to-Sequence Learning
6. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
7. [ACL2016] Incorporating Copying Mechanism in Sequence-to-Sequence Learning
8. Deep learning From Image to Sequence
9. Sequence to Sequence Learning with Neural Networks学习笔记
10. Attentive Sequence to Sequence Networks

>>更多相关文章<<