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大小:15.87 MB
页数:50页
时间:2019-05-08
《斯坦福深度学习课件2 深度学习理论概论Lecture-02-AsCorrected》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、BackgroundInfoTheoriesofDeepLearningLecture02Donoho,Monajemi,PapyanDepartmentofStatisticsStanfordOct.4,20171/50BackgroundInfoStats385Fall20172/50BackgroundInfoStats285Fall20173/50BackgroundInfoCourseinfoWed3:00-4:20PMin200-002Sept27-Dec6(10Weeks)Website:http://stats385.github.io@stats385Ins
2、tructors:+DavidDonohoEmaildonoho@stanxxx.eduOfficehoursMon/Wed1PMinSequoia128+HatefMonajemiEmailmonajemi@stanxxx.eduOfficehoursMondays,11:00AMinSequoia216Twitter@hatefmnj+VardanPapyanEmailpapyan@stanxxx.eduOfficehoursTBD4/50BackgroundInfoRemindersWeeklyguestlecturesAssociatedabstracts,readings
3、ProjectsCourseWebsite:http://stats385.github.ioEachWeek’sSpeakerReadings(LinkstoSelected)AnnouncementsLectureSlidesStanfordCanvassiteReadings(Incl.Copyrighted)AnnouncementsLectureSlidesChat5/50BackgroundInfoBasicInformationaboutDeepLearningChrisManning:http://web.stanford.edu/class/cs224n/P
4、alSujit’sNLPtutorial:https://github.com/sujitpal/eeap-examplesAndrewNg’sdeeplearning.aiCS231ncoursewebsite:http://cs231n.github.ioPyTorchTutorial(Allkindsofexamples):http://pytorch.org/tutorials/Books:DeepLearning,Goodfellow,Bengio,Courville;2016.NeuralNetworksandDeepLearningMichaelNielsenh
5、ttp://neuralnetworksanddeeplearning.comManyO’ReillyBookshttp://deeplearning.net/reading-list/ManyNIPSPapers.6/50BackgroundInfoALookAhead:https://stats385.github.ioNextTwoLectures:WedOct11HelmutBoelcskeiETHZuerichWedOct18AnkitPatelRice7/50BackgroundInfoWedOct11HelmutBoelsckeiReadingsforthisl
6、ecture1Amathematicaltheoryofdeepconvolutionalneuralnetworksforfeatureextraction2Energypropagationindeepconvolutionalneuralnetworks3Discretedeepfeatureextraction:Atheoryandnewarchitectures4TopologyreductionindeepconvolutionalfeatureextractionnetworksPossiblyalsoofinterestS.Mallat,Understandi
7、ngDeepConvolutionalNetworksPhil.Trans.Roy.Soc.2017Mallat,Stephane.Groupinvariantscattering.´CommunicationsonPureandAppliedMathematics65,no.10(2012):1331-13988/50BackgroundInfoLecture1,inreviewGlobalEconomy→Computing→DeepLearning9/50BackgroundInfoLecture2
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