1，经典文章
Hinton, G. E., Osindero, S. and Teh, Y. W. A fast learning algorithm for deep belief nets. Neural Computation, vol 18, pp. 1527-1554, 2006.
Hinton, G. E. To recognize shapes, first learn to generate images. Technical Report UTML TR 2006-003, University of Toronto, 2006.
Hinton, G. E. and Salakhutdinov, R. R. Reducing the dimensionality of data with neural networks. Science, vol. 313, no. 5786, pp. 504–507, 2006.
Bengio, Y. Learning deep architecture for AI. Foundations and Trends in Machine Learning, vol. 2, pp: 1-127, 2009.
2，一些网站
RBM的创始人hinton主页： http://www.cs.toronto.edu/~hinton/
deep learning tutorial: http://deeplearning.net/tutorial/contents.html
RBM: http://deeplearning.net/tutorial/rbm.html
hinton PPT: https://www.cs.toronto.edu/~hinton/nipstutorial/nipstut3.pdf
3，开源库
matrbm:(基于matlab,在matlab7.0下可以正常运行)
http://code.google.com/p/matrbm/
an open source project of deep learning on github:
https://github.com/deeplearningais/CUV
4，一些博客
http://www.cnblogs.com/tornadomeet/