“2016 Summer Seminar for Machine learning”版本间的差异

2016年7月12日 (二) 09:37的版本

Date	Speaker	Title	Materials
2016/07/04	Dong Wang	Machine learning overview	slides video(part 2)Algebra review probability review Gaussian distribution Learning theory
2016/07/05	Dong Wang	Linear models	slides NG's lecture 1 NG's lecture 2
2016/07/08	Dong Wang	Neural networks	slides
2016/07/11	Dong Wang	Deep learning (1)	slides NIPS 2015 tutorial
2016/07/	Dong Wang	Deep learning (2)	slides Li Deng's ICASSP16 keynote
2016/07/	Dong Wang	Unsupervised learning
2016/07/	Caixia Wang	Kernel methods	Kernel method book pattern recognition 6-7
2016/07/	Dong Wang	Probabilistic learning theory
2016/07/	Yang Feng	Graphical model: Bayesian approach
2016/07/	Yang Feng	Graphical model: Random field
2016/07/	Dong Wang	No parametric models	Gaussian process
2016/07/	Dong Wang	Reinforcement learning
2016/07/	Maoning Wang	Evolutionary learning
2016/07/	Dong Wang	Optimization	Convex optimization I Convex optimization II

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 | 2016/07/11    ||Dong Wang  || Deep learning (1)|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt4.%20Deep%20learning-1.pptx slides]  [http://www.iro.umontreal.ca/~bengioy/talks/DL-Tutorial-NIPS2015.pdf NIPS 2015 tutorial]
 |-
-| 2016/07/    ||Dong Wang  || Deep learning (2)||
+| 2016/07/    ||Dong Wang  || Deep learning (2)|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt5.%20Deep%20learning-2.pptx slides] [http://www.icassp2016.org/SP16_PlenaryDeng_Slides.pdf Li Deng's ICASSP16 keynote]
 |-
 | 2016/07/    ||Dong Wang  || Unsupervised learning ||