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- The monograph or review paper `Learning Deep Architectures for AI <http://www.iro.umontreal.ca/~lisa/publications2/index.php/publications/show/239>`_ (Foundations & Trends in Machine Learning, 2009).
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- The ICML 2009 Workshop on Learning Feature Hierarchies `webpage <http://www.cs.toronto.edu/~rsalakhu/deeplearning/index.html>`_ has a `list of references <http://www.cs.toronto.edu/~rsalakhu/deeplearning/references.html>`_.
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- The LISA `public wiki <http://www.iro.umontreal.ca/~lisa/twiki/bin/view.cgi/Public/WebHome>`_ has a `reading list <http://www.iro.umontreal.ca/~lisa/twiki/bin/view.cgi/Public/ReadingOnDeepNetworks>`_ and a `bibliography <http://www.iro.umontreal.ca/~lisa/twiki/bin/view.cgi/Public/DeepNetworksBibliography>`_.
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- Geoff Hinton has `readings <http://www.cs.toronto.edu/~hinton/deeprefs.html>`_ from last year's `NIPS tutorial <http://videolectures.net/jul09_hinton_deeplearn/>`_.
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- Geoff Hinton has `readings <http://www.cs.toronto.edu/~hinton/deeprefs.html>`_ from 2009's `NIPS tutorial <http://videolectures.net/jul09_hinton_deeplearn/>`_.
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The tutorials presented here will introduce you to some of the most important deep learning
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algorithms and will also show you how to run them using Theano_. Theano is a python library that makes writing deep learning models easy, and gives the option of
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