“Reading Paper”版本间的差异
来自cslt Wiki
（→word vector） |
（→word vector） |
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| 第22行： | 第22行： | ||
* [[useful tutorial]] | * [[useful tutorial]] | ||
* [[2014-10-20-word2vec|Learning Word Vectors for Sentiment Analysis]] | * [[2014-10-20-word2vec|Learning Word Vectors for Sentiment Analysis]] | ||
| − | * distributed representations for compositional semantics [http://arxiv.org/pdf/1411.3146.pdf] | + | * deep learing in nlp |
| + | :* distributed representations for compositional semantics [http://arxiv.org/pdf/1411.3146.pdf] | ||
| + | :* Deep Learning for Natural Language Processing and Machine Translation [http://cl.naist.jp/~kevinduh/notes/cwmt14tutorial.pdf] | ||
==learn report== | ==learn report== | ||
2014年12月22日 (一) 10:41的版本
目录
tool
- word2vec tool
- document vector[3]
- genSim[4] new function
QA
NN & RNN LM
document classification
word vector
- useful tutorial
- Learning Word Vectors for Sentiment Analysis
- deep learing in nlp
learn report
basic tasks of speech processing
learn process
Some Things to remember
- video lectures [7]
- free books [8]
- 推荐系统的tutorial slides [9][10]
- understanding-lbfgs [11]
- ml blog[12][13]
- 公开课[14]
- 机器学习日报[15]
- 包含大量的学习资源
- Advanced Machine Learning[16]
