I've been reading Bengio's tutorial (Learning Deep Architectures for AI), and I'm also going over some reading lists over here (http://www.deeplearning.net/tutorial/)
However, most of them only go as far as 2009, Bengio's paper points out some open questions regarding Deep Nets that might be answered by now.
Other than scanning NIPS and ICML papers, is there any good recent tutorial?
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