CS224n Reading Notes in Chinese 中文阅读笔记
Home Page: https://looperxx.github.io/CS224n-2019-01-Introduction%20and%20Word%20Vectors/
课程视频：YouTube
课程材料: CS224n-2019
国内视频资源：2019版|英文字幕(仍在更新) || 2019版|英文字幕(全)||2017版|中英字幕
本笔记结合每课时的视频、课件、笔记等整理而成，请注意：
笔记制作不易，诸多纰漏错误之处，还望大家海涵，并请在 issue 区提出，以便定时查看并更新
本笔记仅供学习分享之用，请勿私自商用。由于Git-LFS的免费空间不足，现将笔记整合版PDF迁移至蓝奏云 (密码:h04j)
笔记如有任何侵权之处，请联系 [email protected]
以下是学习本课程时的可用参考书籍：
《Speech and Language Processing》
以下是整理笔记的过程中参考的博客：
斯坦福CS224N深度学习自然语言处理2019冬学习笔记目录 (课件核心内容的提炼，并包含作者的见解与建议)
斯坦福大学 CS224n自然语言处理与深度学习笔记汇总 (这是针对note部分的翻译)
在 but why not capture co-occurrence counts directly?这一节里面
这里应该是pearson相关系数？皮尔逊相关系数？
是否可以汇总成一个pdf呢？
word2vec objective function部分，“在大小为m..., 给定中心词wj”应该是“中心词wt”吧
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