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DP for NLP-CS224D,学习记录之一. 2015 年 8 月 9 日. 是斯理福在今年春季开设过的一门课程, 全称deep learning for natural language processing, 顾名思义, 是使用最近的深度学习来做自然语言的一门课程, 自从上次在读书会讲过memory network之后, 结合自己之前的兴趣, 终于算是给自己找到了一个比较感兴趣, 而且又有些前景的方向, 正好和这门课的目标方法完全契合, 于是跟之. 第一周概述了deep learning和之前的方法和不同, 基本来说, 大意就是使用向量来表示一切, 之前的确定性推断全部让位给向量表示的不确定性推断, 在课程的 slides. Combine ideas and goals of NLP and use representation learning and deep learning methods to solve them. 而使用dp的做法, 则是将每个词都视为一个向量, 然后使用神经网络来对向量进行组合, 加乘等等操作. 对于向量空间模型而方, 我之前曾经使用term-document.PARSED CONTENT
The site states the following, "2015 年 8 月 9 日." I noticed that the web page also stated " 是斯理福在今年春季开设过的一门课程, 全称deep learning for natural language processing, 顾名思义, 是使用最近的深度学习来做自然语言的一门课程, 自从上次在读书会讲过memory network之后, 结合自己之前的兴趣, 终于算是给自己找到了一个比较感兴趣, 而且又有些前景的方向, 正好和这门课的目标方法完全契合, 于是跟之." They also stated " 第一周概述了deep learning和之前的方法和不同, 基本来说, 大意就是使用向量来表示一切, 之前的确定性推断全部让位给向量表示的不确定性推断, 在课程的 slides. Combine ideas and goals of NLP and use representation learning and deep learning methods to solve them. 而使用dp的做法, 则是将每个词都视为一个向量, 然后使用神经网络来对向量进行组合, 加乘等等操作."SEE MORE WEB SITES
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But today, things are different. I am posting again! But before you go WWWWAAAAHHHH. I got selfish intention also lar. Was doing work as usual, when I suddenly saw this in twitter.