ExploringanadvancedstateoftheartdeeplearningmodelsanditsapplicationsusingPopularpythonlibrarieslikeKeras,Tensorflow,andPytorchKeyFeatures•AstrongfoundationonneuralnetworksanddeeplearningwithPythonlibraries.•ExploreadvanceddeeplearningtechniquesandtheirapplicationsacrosscomputervisionandNLP.•Learnhowacomputercannavigateincomplexenvironmentswithreinforcementlearning.BookDescriptionWiththesurgeofArtificialIntelligenceineachandeveryapplicationcateringtobothbusinessandconsumerneeds,DeepLearningbecomestheprimeneedoftodayandfuturemarketdemands.Thisbookexploresdeeplearningandbuildsastrongdeeplearningmindsetinordertoputthemintouseintheirsmartartificialintelligenceprojects.Thissecondeditionbuildsstronggroundsofdeeplearning,deepneuralnetworksandhowtotrainthemwithhigh-performancealgorithmsandpopularpythonframeworks.Youwilluncoverdifferentneuralnetworksarchitectureslikeconvolutionalnetworks,recurrentnetworks,longshortter妹妹emory(LSTM)andsolveproblemsacrossimagerecognition,naturallanguageprocessing,andtime-seriesprediction.Youwillalsoexplorethenewlyevolvedareaofreinforcementlearninganditwillhelpyoutounderstandthestate-of-the-artalgorithmswhicharethemainenginesbehindpopulargameGo,Atari,andDota.Bytheendofthebook,youwillbewellversedwithpracticaldeeplearningknowledgeanditsreal-worldapplicationsWhatyouwilllearn•Graspmathematicaltheorybehindneuralnetworksanddeeplearningprocess.•Investigateandresolvecomputervisionchallengesusingconvolutionalnetworksandcapsulenetworks.•SolveGenerativetasksusingVariationalAutoencodersandGenerativeAdversarialNets(GANs).•ExploreReinforcementLearningandunderstandhowagentsbehaveinacomplexenvironment.•Implementcomplexnaturallanguageprocessingtasksusingrecurrentnetworks(LSTM
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