深度學習 Deep Learning 學習資料大全
入門閱讀
- deep learning較全面的入門介紹19
- 淺談Deep Learning的基本思想和方法3
- 機器學習——深度學習(Deep Learning)2
- deep learning tutorials3
- 一篇blog:deep learning2,3
- 一些論文介紹3
代碼/工具
- Theano - Deep Learning工具5
- senna (論文1) Deep Learning在自然語言理解中的應用,研讀Senna的源代碼是個很好的起點。C代碼只有3500行,實現了POS/NER/SRL/Syntactical Parsing諸多功能。
理論&論文
- Yoshua Bengio, Learning Deep Architectures for AI, Foundations and Trends in Machine Learning, 2(1), 2009
- ICML 2009 Workshop on Learning Feature Hierarchies的引用列表
- Geoff Hinton's refs
-
Rank 1
Hinton's homepage
http://www.cs.toronto.edu/~hinton/1
Reducing the dimensionality of data with neural networks.
http://www.cs.toronto.edu/~hinton/science.pdf
A practical guide to training restricted Boltzmann machines
http://www.cs.toronto.edu/~hinton/absps/guideTR.pdf
video talks
http://videolectures.net/geoffrey_e_hinton/ -
Rank 2
Bengio's homepage
http://www.iro.umontreal.ca/~bengioy/yoshua_en/research.html
Learning Deep Architectures for AIhttp://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf
Representation Learning: A Review and New Perspectives
http://arxiv.org/abs/1206.5538
Video talks
http://videolectures.net/yoshua_bengio/ -
Rank 3
Andrew Ng
http://ai.stanford.edu/~ang/1 -
Related Events
http://deeplearning.net/events/
CVPR 2012 deep learning workshop
http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/
其他資源
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