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1、英文资料翻译Caffe:ConvolutionalArchitectureforFastFeatureEmbeddingABSTRACTCaffeprovidesmultimediascientistsandpractitionerswithacleanandmodiableframeworkforstate-of-the-artdeeplearningalgorithmsandacollectionofreferencemodels.TheframeworkisaBSD-licensedC++librarywithPythona
2、ndMATLABbindingsfortraininganddeployinggeneral-purposeconvolutionalneuralnetworksandotherdeepmodelsecientlyoncommodityarchitectures.Caetsindustryandinternet-scalemedianeedsbyCUDAGPUcomputation,processingover40millionimagesadayonasingleK40orTitanGPU(2.5msperimage).Byse
3、paratingmodelrepresentationfromactualimplementation,Caeallowsexperimentationandseamlessswitchingamongplatformsforeaseofdevelopmentanddeploymentfromprototypingma-chinestocloudenvironments.CaeismaintainedanddevelopedbytheBerkeleyVisionandLearningCenter(BVLC)withthehelpo
4、fanactivecommunityofcontributorsonGitHub.Itpowerson-goingresearchprojects,large-scaleindustrialapplications,andstartupprototypesinvision,speech,andmultimedia.CategoriesandSubjectDescriptorsI.5.1[PatternRecognition]:[Applications{Computervi-sion];D.2.2[SoftwareEngineer
5、ing]:[DesignToolsandTechniques{Softwarelibraries];I.5.1[PatternRecognition]:[Models{NeuralNets]GeneralTermsAlgorithms,Design,ExperimentationKeywordsOpenSource,ComputerVision,NeuralNetworks,ParallelComputation,MachineLearningCorrespondingAuthors.TheworkwasdonewhileYang
6、qingJiawasagraduatestudentatBerkeley.HeiscurrentlyaresearchscientistatGoogle,1600AmphitheaterPkwy,MountainView,CA94043.1.INTRODUCTIONAkeyprobleminmultimediadataanalysisisdiscoveryofeectiverepresentationsforsensoryinputs
7、images,sound-waves,haptics,etc.Whileperformanceo
8、fconventional,handcraftedfeatureshasplateauedinrecentyears,newdevelopmentsindeepcompositionalarchitectureshavekeptperformancelevelsrising[8].Deepmodelshaveoutperformedhand-engineeredfeaturerepresentationsinmanydo-mains,andmadelearningpossibleindomainswhereengineeredfe
9、atureswerelackingentirely.Weareparticularlymotivatedbylarge-scalevisualrecognition,whereaspecictypeofdeeparchitecturehasachi
