“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
| 第10行： | 第10行： | ||
| 2016/07/05 ||Dong Wang || Linear models || Aiting Liu; Aodong Li|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt2.%20Linear%20Model.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson2-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson2-2.mp4 video(part 2)] [http://cs229.stanford.edu/notes/cs229-notes1.pdf NG's lecture 1] [http://cs229.stanford.edu/notes/cs229-notes2.pdf NG's lecture 2] | | 2016/07/05 ||Dong Wang || Linear models || Aiting Liu; Aodong Li|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt2.%20Linear%20Model.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson2-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson2-2.mp4 video(part 2)] [http://cs229.stanford.edu/notes/cs229-notes1.pdf NG's lecture 1] [http://cs229.stanford.edu/notes/cs229-notes2.pdf NG's lecture 2] | ||
|- | |- | ||
| − | | 2016/07/08 ||Dong Wang || Neural networks || Aiting Liu; Andy Zhang|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt3.%20Neural%20Network.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson3-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson3-2.mp4 video(part 2)] | + | | 2016/07/08 ||Dong Wang || Neural networks || Xing Chao; Aiting Liu; Andy Zhang|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt3.%20Neural%20Network.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson3-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson3-2.mp4 video(part 2)] |
|- | |- | ||
| 2016/07/11 ||Dong Wang || Deep learning (1)|| Hang Luo; Jiyuan Zhang; Zhiyuan|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt4.%20Deep%20learning-1.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson4-1_Deep_learning.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson4-2_Deep_learning.m4v video(part 2)] [http://www.iro.umontreal.ca/~bengioy/talks/DL-Tutorial-NIPS2015.pdf NIPS 2015 tutorial] | | 2016/07/11 ||Dong Wang || Deep learning (1)|| Hang Luo; Jiyuan Zhang; Zhiyuan|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt4.%20Deep%20learning-1.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson4-1_Deep_learning.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson4-2_Deep_learning.m4v video(part 2)] [http://www.iro.umontreal.ca/~bengioy/talks/DL-Tutorial-NIPS2015.pdf NIPS 2015 tutorial] | ||
| 第26行： | 第26行： | ||
| 2016/07/26 ||Dong Wang || Non parametric models ||Maoning Wang; || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt10.%20Non-Parametric%20Learning.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson10-1_Nonparameteric_model.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson10-2_Nonparameteric_model.m4v video(part 2)] [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process] [http://stat.columbia.edu/~porbanz/npb-tutorial.html Resource for non-parametric Bayesian] [http://www.gatsby.ucl.ac.uk/~ywteh/research/npbayes/dp.pdf A good tutorial] | | 2016/07/26 ||Dong Wang || Non parametric models ||Maoning Wang; || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt10.%20Non-Parametric%20Learning.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson10-1_Nonparameteric_model.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson10-2_Nonparameteric_model.m4v video(part 2)] [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process] [http://stat.columbia.edu/~porbanz/npb-tutorial.html Resource for non-parametric Bayesian] [http://www.gatsby.ucl.ac.uk/~ywteh/research/npbayes/dp.pdf A good tutorial] | ||
|- | |- | ||
| − | | 2016/07/28 ||Maoning Wang || Evolutionary learning || | + | | 2016/07/28 ||Maoning Wang || Evolutionary learning ||Dong Wang; ||[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:EA_%E7%8E%8B%E5%8D%AF%E5%AE%81.pdf slides] [http://arch.cslt.org/video/2016/sum-ML/lesson11_Evolutional_algorithm.m4v video][http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Introduction_to_Evolutionary_Computing.pdf Introduction_to_Evolutionary_Computing.pdf ] |
|- | |- | ||
| − | | 2016/07/29 ||Dong Wang || Reinforcement learning || | + | | 2016/07/29 ||Dong Wang || Reinforcement learning || Dong Wang || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt12.%20Reinforcement%20Learning.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson12-1_Reinforcement_learning.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson12-2_Reinforcement_learning.m4v video(part 2)] [http://www.jair.org/media/301/live-301-1562-jair.pdf an old but good review] [http://rll.berkeley.edu/deeprlcourse/ state-of-the-art course] |
|- | |- | ||
| 2016/08/02 ||Dong Wang || Optimization || Caixia; ||[http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt13.%20Optimization.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson13-1_Optimization.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson13-2_Optimization.m4v video(part 2)] [http://cs229.stanford.edu/section/cs229-cvxopt.pdf Convex optimization I] [http://cs229.stanford.edu/section/cs229-cvxopt2.pdf Convex optimization II] | | 2016/08/02 ||Dong Wang || Optimization || Caixia; ||[http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt13.%20Optimization.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson13-1_Optimization.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson13-2_Optimization.m4v video(part 2)] [http://cs229.stanford.edu/section/cs229-cvxopt.pdf Convex optimization I] [http://cs229.stanford.edu/section/cs229-cvxopt2.pdf Convex optimization II] | ||
|- | |- | ||
|} | |} | ||
2017年1月6日 (五) 07:50的版本
- Location: FIT-1-304
