Lecture 1 | Natural Language Processing with Deep Learning

推荐理由

I will suggest two brilliant courses from Stanford

强烈推荐neel8986 · 原文2018年1月

说明

这是2017年由Stanford University School of Engineering发布的一部课堂讲座，主题归在Computer vision, speech & NLP。它讲的是natural language processing这一支里的具体问题，而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成：The first lecture of Stanford's Natural Language Processing with Deep Learning course, taught by Chris Manning and Richard Socher. It introduces NLP and word vectors, including SVD, skip-gram, CBOW, negative sampling and word2vec.这些读者给出的理由，核心是：Recommended as one of the best free courses for learning modern deep learning for NLP.它贴着当时的技术，看的时候要记得那是那个年份的判断。从2017年到2018年，有3位不同的读者在3个不同月份把它推荐出来，其中明确叫别人去看的有1次。节奏接近上课，可以暂停做笔记。它假设你愿意跟着一条推导走完。如果已经会了基本定义，就把注意力放在它怎么把natural language processing变成能跟着复述的例子。

视频信息

频道

Stanford University School of Engineering

时长

1 小时 11 分

发布年份

2017

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