PythonDeepLearningProjects:9projectsdemystifyingneuralnetworkanddeeplearningmodelsforbuildingintelligentsystemsBy作者:MatthewLamons–RahulKumar–AbhishekNagarajaISBN-10书号:1788997093ISBN-13书号:9781788997096出版日期:2018-10-31pages页数:(670)Deeplearninghasbeengraduallyrevolutionizingeveryfieldofartificialintelligence,makingapplicationdevelopmenteasier.PythonDeepLearningProjectsimpartsalltheknowledgeneededtoimplementcomplexdeeplearningprojectsinthefieldofcomputationallinguisticsandcomputervision.Eachoftheseprojectsisunique,helpingyouprogressivelymasterthesubject.You’lllearnhowtoimplementatextclassifiersystemusingarecurrentneuralnetwork(RNN)modelandoptimizeittounderstandtheshortcomingsyoumightexperiencewhileimplementingasimpledeeplearningsystem.Similarly,you’lldiscoverhowtodevelopvariousprojects,includingwordvectorrepresentation,opendomainquestionanswering,andbuildingchatbotsusingseq-to-seqmodelsandlanguagemodeling.Inadditiontothis,you’llcoveradvancedconcepts,suchasregularization,gradientclipping,gradientnormalization,andbidirectionalRNNs,throughaseriesofengagingprojects.Bytheendofthisbook,youwillhavegainedknowledgetodevelopyourowndeeplearningsystemsinastraightforwardwayandinanefficientwayContents1:BUILDINGDEEPLEARNINGENVIRONMENTS2:TRAININGNNFORPREDICTIONUSINGREGRESSION3:WORDREPRESENTATIONUSINGWORD2VEC4:BUILDINGANNLPPIPELINEFORBUILDINGCHATBOTS5:SEQUENCE-TO-SEQUENCEMODELSFORBUILDINGCHATBOTS6:GENERATIVELANGUAGEMODELFORCONTENTCREATION7:BUILDINGSPEECHRECOGNITIONWITHDEEPSPEECH28:HANDWRITTENDIGITSCLASSIFICATIONUSINGCONVNETS9:OBJECTDETECTIONUSINGOPENCVANDTENSORFLOW10:BUILDINGFACERECOGNITIONUSINGFACENET11:AUTOMATEDIMAGECAPTIONING12:POSEESTIMATIONON3DMODELSUSINGCONVNETS13:IMAGETRANSLATIONUSINGGANSFORSTYLETRANSFER
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