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ID:38699695
大小:4.43 MB
页数:63页
时间:2019-06-17
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1、DeepNeuralNetworks–ApplicationsinHandwritingRecognitionThéodoreBluchetheodore.bluche@gmail.comSãoPauloMeetup-9Mar.20172WhoamI?ThéodoreBluchePhDdefendedatUniversitéParis-Sudin2015DeepNeuralNetworksforLargeVocabularyHandwrittenTextRecognitionNowworkingasaReasearchEngineerata
2、2iainParis…automaticdocumentprocessing(handwritingrecognitionandmore…)…partoftheresearchteam(6people)…implementationofnewneuralnetworks…improvingthespeedandaccuracyofproductionmodels…buildthemodelsoftomorrow3HandwritingRecognition…Goal:Convertscanneddocument(image)totext4…isfullofchallenges5PuzzleWh
3、atcharactersarethose?6Answer:u,(partof)m,en,n!→hardtosegmentcharacters,thenrecognize!OfflineHandwritingRecognition“Look!”hewentonearnestly.“You’renot…towriteupPericlesinsomewayorother…you?”“Whatistheretowriteup?”saidBawley.“Thereareforty-threesubmarines..theNavy-whyshouldIpickonPericles?”Johneyedhim
4、steadily.“It’sthePrincipalbusiness,isn’tit?”hesaidquietly.Line(orWord)SegmentationTextRecognitionLanguageModel➔Challenges○theinputisavariable-sizedtwo-dimensionalimage○theoutputisavariable-sizedsequenceofcharacters○thecursivenatureofhandwritingmakesapriorsegmentationintocharactersdifficult8Outlineof
5、thistalk➔StandardHandwritingRecognition(HWR)System◆Imageprocessing-FeatureExtraction-OpticalModel-HiddenMarkovModel-LanguageModel➔DeepNeuralNetworksforHWR--pluggingNNsinthesystem◆NeuralNets:Multilayerperceptrons
6、RecurrentNeuralNetworks◆DeepNeuralNets…◆…automaticallylearngoodfeaturesandcontext➔End-to
7、-EndHWR--frompixelstotext◆MultidimensionalRecurrentNeuralNetworks◆Attention-basedmethods9Outlineofthistalk➔StandardHandwritingRecognition(HWR)System◆Imageprocessing-FeatureExtraction-OpticalModel-HiddenMarkovModel-LanguageModel➔DeepNeuralNetworksforHWR--pluggingNNsinthesystem◆NeuralNets:Multilayerpe
8、rceptrons
9、RecurrentNeuralNetworks◆DeepNeuralNets…◆…automaticallylearngoodfeaturesandcontext➔End-to-EndHWR--frompixelstotext◆MultidimensionalRecurrentNeuralNetworks◆Attention-basedmethods➔TipsandTricks
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