Deep Learning Reading List

http://deeplearning.net/reading-list/

List of reading lists and survey papers:

• The monograph or review paper Learning Deep Architectures for AI (Foundations & Trends in Machine Learning, 2009).
• A practical guide to training Restricted Boltzmann Machines, by Geoffrey Hinton.
• The ICML 2009 Workshop on Learning Feature Hierarchies webpage has a reading list.
• The LISA public wiki has a reading list and a bibliography.
• Geoff Hinton has readings from last year’s NIPS tutorial.
• The LISA publications database contains a deep architectures category.
• Scholarpedia page on Deep Belief Networks.
• A very brief introduction to AI, Machine Learning, and Deep Learning in Yoshua Bengio‘sIFT6266 graduate class
• Deep Machine Learning – A New Frontier in Artificial Intelligence Research – a survey paperby Itamar Arel, Derek C. Rose, and Thomas P. Karnowski.