(30)[ICLR13] Efficient Estimation of Word Representations in Vector Space
计划完成深度学习入门的126篇论文第三十篇，Google的Jeffrey Dean、Greg Corrado、Tomas Mikolov发表的第一排word2vec论文，引用高达10000次，同时也是CS224nLecture1的推荐readings。源码 ABSTRACT&INTRODUCTION 摘要 咱们提出了两种新的模型结构，用于从很是大的数据集计算单词的连续向量表示。这些表示的质量在单词
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相关文章
- 1. (30)[ICLR13] Efficient Estimation of Word Representations in Vector Space
- 2. Efficient Estimation of Word Representations in Vector Space
- 3. 1.Efficient Estimation of Word Representations in Vector Space
- 4. Efficient Estimation of Word Representations in Vector Space (2013)论文要点
- 5. 读论文《Efficient Estimation of Word Representations in Vector Space》
- 6. Efficient Estimation of Word Representations in vector space 论文阅读
- 7. NLP系列：Word2Vec原始论文：Efficient Estimation of Word Representations in Vector Space
- 8. 读word2vec经典论文《Efficient Estimation of Word Representations in Vector Space》读书笔记
- 9. CS224n-03 Advanced Word Vector Representations
- 10. CS224n-02 Word Vector Representations word2vec