Tutorials to Deep Learning « Trung Huynh's tech blog
Tutorials to Deep Learning
An introduction to Deep Learning by Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy:
http://www.lri.fr/~arnold/_media/bib:esann2011.pdf?cache=
Nice survey about Learning Deep Network by Yoshua Bengio:
http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf
More about Contrastive Divergence:
http://www.robots.ox.ac.uk/~ojw/files/NotesOnCD.pdf
Autoencoder:
http://www.stanford.edu/class/cs294a/sparseAutoencoder.pdf
Stacked Autoencoders:
http://ufldl.stanford.edu/wiki/index.php/Stacked_Autoencoders
Convolutional Neural Network:
http://www.inf.ufsc.br/~otuyama/eng/academic/cnn/index.html
Markov Chain Monte Carlo & Gibbs sampling:
http://web.mit.edu/~wingated/www/introductions/mcmc-gibbs-intro.pdf
