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Python:Advanced Guide to Artificial Intelligence

Giuseppe Bonaccorso Armando Fandango Rajalingappaa Shanmugamani

计算机网络/编程语言与程序设计· 14.2万字

更新时间:2021-07-02 14:58:22

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ThisLearningPathisyourcompleteguidetoquicklygettingtogripswithpopularmachinelearningalgorithms.You'llbeintroducedtothemostwidelyusedalgorithmsinsupervised,unsupervised,andsemi-supervisedmachinelearning,andlearnhowtousetheminthebestpossiblemanner.RangingfromBayesianmodelstotheMCMCalgorithmtoHiddenMarkovmodels,thisLearningPathwillteachyouhowtoextractfeaturesfromyourdatasetandperformdimensionalityreductionbymakinguseofPython-basedlibraries.You'llbringtheuseofTensorFlowandKerastobuilddeeplearningmodels,usingconceptssuchastransferlearning,generativeadversarialnetworks,anddeepreinforcementlearning.Next,you'lllearntheadvancedfeaturesofTensorFlow1.x,suchasdistributedTensorFlowwithTFclusters,deployproductionmodelswithTensorFlowServing.You'llimplementdifferenttechniquesrelatedtoobjectclassification,objectdetection,imagesegmentation,andmore.BytheendofthisLearningPath,you'llhaveobtainedin-depthknowledgeofTensorFlow,makingyouthego-topersonforsolvingartificialintelligenceproblemsThisLearningPathincludescontentfromthefollowingPacktproducts:MasteringMachineLearningAlgorithmsbyGiuseppeBonaccorso.MasteringTensorFlow1.xbyArmandoFandango.DeepLearningforComputerVisionbyRajalingappaaShanmugamani.
品牌:中图公司
上架时间:2018-12-21 00:00:00
出版社:Packt Publishing
本书数字版权由中图公司提供,并由其授权上海阅文信息技术有限公司制作发行
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