Andrew Ng, the man behind the excellent ML course on coursera, has an introduction to Deep Learning using Matlab. [1]: Wiki with code, exercises and explanatio

Andrew Ng, the man behind the excellent ML course on coursera, has an introduction to Deep Learning using Matlab. [1]: Wiki with code, exercises and explanation [2]: Video lecture one with a recap on back-propagation [3]: Video lecture two on Sparse Auto Encoders [4]: Handouts In terms of books, Bayesian Reasoning and Machine Learning [5] is Matlab based. So is the Handbook of Monte Carlo methods [6]. [1]: http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial [2]: http://www.stanford.edu/class/cs294a/video1.html http://www.stanford.edu/class/cs294a/video1.html [3]: http://www.stanford.edu/class/cs294a/video2.html http://www.stanford.edu/class/cs294a/video2.html [4]: http://www.stanford.edu/class/cs294a/handouts.html http://www.stanford.edu/class/cs294a/handouts.html [5]: http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=... [6]: http://www.maths.uq.edu.au/~kroese/montecarlohandbook/ http://www.maths.uq.edu.au/~kroese/montecarlohandbook/