cs224笔记：Lecture 1 Introduction and Word Vectors
Lecture 1: Introduction and Word Vectors Representing words as discrete symbols 在传统NLP使用discrete symbols表示词，即one-hot编码，各个单词向量之间是**正交(orthogonal)的，所以没有类似性(similarity)的概念。例如： m o t e l = [ 0 , 0 , 0 , 0
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相关文章
- 1. cs224笔记: Lecture 2 Word Vectors and Word Senses
- 2. CS224n--Lecture 1 Introduction and Word Vectors
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