Sequence Models(Week2)---Natural Language Processing & Word Embeddings
(一)Introduction to word embeddings 一、Word Representation 用近300個特徵值組成的向量來表示man這個單詞 詞嵌入是NLP中最重要的思想之一 二、Using word embeddings 詞嵌入可以使得學習算法的推廣性增強，如XXX is orange farmer識別出了XXX是人名，那麼可以更好地識別出XXX is an apple f
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相關文章
- 1. 020 Natural Language Processing & Word Embeddings
- 2. [序列模型] Natural Language Processing & Word Embeddings習題解析
- 3. CHAPTER 9 Sequence Processing with Recurrent Networks
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- 6. CS224N lecture13 Contextual Word Embeddings
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- 9. Word Embeddings And Word Sense
- 10. Word embeddings in 2017: Trends and future directions