Deep Learning新星-Charlie Tang(Yichuan Tang)

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编者按：Hinton门下又一新星， ICML 2013 REPL workshop's facial expression recognition contest和ICML 2013 REPL workshop's multimodal learning contest冠军得主，主要创新是在顶层采用SVM模型，也许他们还将尝试SVM Kernel和随机森林等方法。

本文主要节选自Charlie Tang的个人主页：http://www.cs.toronto.edu/~tang/

相关文章：《Hinton独家采访》

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PhD student in the Machine Learning group at the University of Toronto.Advisors: Geoffrey Hinton and Ruslan Salakhutdinov.
Master of Mathematics in Computer Science, University of Waterloo, 2010.Bachelor of Applied Science in Mechatronics Engineering, University of Waterloo, 2008.
Research interests: machine learning, vision, and cognitive science
Contact: tang@cs•toronto•edu

Research

Winner of ICML 2013 REPL workshop's facial expression recognition contest: [contest page] [GPU code]

Winner of ICML 2013 REPL workshop's multimodal learning contest: [contest page] [GPU code]

Code

For bugs and/or suggestions, please email me.

Tensor Analyzers Code: TA_code_5.2013.zip

Deep Mixtures of Factor Analyzers Code: DeepMFAcode.zip

Data Normalization in the Learning of RBMs Code: RbmZm_code_10.2012.zip

Robust Boltzmann Machines Code: robm_code_6.15.2012.zip

Gaussian Restricted Boltzmann Machines Code, with sparsity and learning the variances: GaussianRBM.m

About

I completed my Masters of Mathematics degree in 2010 at the University of Waterloo in Computer Science.
My supervisor was Chris Eliasmith.

Prior to my Masters degree, I was part of the class of 2008 in Mechatronics Engineering at the University of Waterloo. I went to the excellent Thomas Worthington HS and Forest Hill Collegiate Institute.
I'm also a Canadian master at the game of chess and two time ('01 & '02) high school chess champion in the state of Ohio.

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