Sequence Models(Week2)---Natural Language Processing & Word Embeddings
(一)Introduction to word embeddings 一、Word Representation 用近300个特征值组成的向量来表示man这个单词 词嵌入是NLP中最重要的思想之一 二、Using word embeddings 词嵌入可以使得学习算法的推广性增强，如XXX is orange farmer识别出了XXX是人名，那么可以更好地识别出XXX is an apple f
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相关文章
- 1. 020 Natural Language Processing & Word Embeddings
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- 10. Word embeddings in 2017: Trends and future directions