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As said in a respected blog, "Maybe it’s too early to call, but [...] it looks like Neural Networks are making a comeback." Some of the networks that are currently developed are Autoencoders and Convolution Networks. Where could one find some tutorials/articles on these topics?

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Andrew Ng's cs294a course at Stanford Deep Learning and Unsupervised Feature Learning has some nice freebies on sparse autoencoders:

http://www.stanford.edu/class/cs294a/video1.html
http://www.stanford.edu/class/cs294a/video2.html
http://www.stanford.edu/class/cs294a/sparseAutoencoder_2011new.pdf

See at the bottom of: http://www.stanford.edu/class/cs294a/handouts.htm

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