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Deep Learning KDD 2014 Tutorial 9:00am-12:30am, Sunday August 24, 2014 Video of the tutorial is available here Overview Building intelligent systems that are capable of extracting high-level representations from high-dimensional sensory data lies at the core of solving many AI related tasks, including visual object or pattern recognition, speech perception, and language understanding. Theoretical

In the following, we first list some papers published since 2008, to reflect the new research activities since the last deep learning workshop held at NIPS, Dec 2007, and then list some earlier papers as well. Papers published since 2008 Analysis and understanding of deep belief networks [Le Roux & Bengio, 2008,Salakhutdinov & Murray, 2008] Biologically-inspired models [Karklin & Lewicki, 2008] Na