入门阅读

• deep learning较全面的入门介绍19
• 浅谈Deep Learning的基本思想和方法3
• 机器学习——深度学习(Deep Learning)2
• deep learning tutorials3
• 一篇blog：deep learning2,3
• 一些论文介绍3

代码/工具

• Theano - Deep Learning工具5
• senna (论文1) Deep Learning在自然语言理解中的应用，研读Senna的源代码是个很好的起点。C代码只有3500行，实现了POS/NER/SRL/Syntactical Parsing诸多功能。

理论&论文

• 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/

其他资源

• http://deeplearning.net/2