(30)[ICLR13] Efficient Estimation of Word Representations in Vector Space
計劃完成深度學習入門的126篇論文第三十篇，Google的Jeffrey Dean、Greg Corrado、Tomas Mikolov發表的第一排word2vec論文，引用高達10000次，同時也是CS224nLecture1的推薦readings。源碼 ABSTRACT&INTRODUCTION 摘要 我們提出了兩種新的模型結構，用於從非常大的數據集計算單詞的連續向量表示。這些表示的質量在單詞
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相關文章
- 1. Efficient Estimation of Word Representations in Vector Space
- 2. 1.Efficient Estimation of Word Representations in Vector Space
- 3. (30)[ICLR13] Efficient Estimation of Word Representations in Vector Space
- 4. Efficient Estimation of Word Representations in Vector Space (2013)論文要點
- 5. 讀論文《Efficient Estimation of Word Representations in Vector Space》
- 6. Efficient Estimation of Word Representations in vector space 論文閱讀
- 7. NLP系列：Word2Vec原始論文：Efficient Estimation of Word Representations in Vector Space
- 8. 讀word2vec經典論文《Efficient Estimation of Word Representations in Vector Space》讀書筆記
- 9. CS224n-03 Advanced Word Vector Representations
- 10. CS224n-02 Word Vector Representations word2vec