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Hands-On Microservices with Kubernetes
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Hands-On Microservices with Kubernetes

Kubernetesisamongthemostpopularopen-sourceplatformsforautomatingthedeployment,scaling,andoperationsofapplicationcontainersacrossclustersofhosts,providingacontainer-centricinfrastructure.Hands-OnMicroserviceswithKubernetesstartsbyprovidingyouwithin-depthinsightsintothesynergybetweenKubernetesandmicroservices.YouwilllearnhowtouseDelinkcious,whichwillserveasalivelabthroughoutthebooktohelpyouunderstandmicroservicesandKubernetesconceptsinthecontextofareal-worldapplication.Next,youwillgetuptospeedwithsettingupaCI/CDpipelineandconfiguringmicroservicesusingKubernetesConfigMaps.Asyoucoverlaterchapters,youwillgainhands-onexperienceinsecuringmicroservices,andimplementingREST,gRPCAPIs,andaDelinkciousdatastore.Inadditiontothis,you’llexploretheNuclioproject,runaserverlesstaskonKubernetes,andmanageandimplementdata-intensivetests.Towardtheconcludingchapters,you’lldeploymicroservicesonKubernetesandlearntomaintainawell-monitoredsystem.Finally,you’lldiscovertheimportanceofservicemeshesandhowtoincorporateIstiointotheDelinkciouscluster.Bytheendofthisbook,you’llhavegainedtheskillsyouneedtoimplementmicroservicesonKuberneteswiththehelpofeffectivetoolsandbestpractices.

Gigi Sayfan ·自動化 ·10.5萬字

PyTorch 1.x Reinforcement Learning Cookbook
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PyTorch 1.x Reinforcement Learning Cookbook

Reinforcementlearning(RL)isabranchofmachinelearningthathasgainedpopularityinrecenttimes.ItallowsyoutotrainAImodelsthatlearnfromtheirownactionsandoptimizetheirbehavior.PyTorchhasalsoemergedasthepreferredtoolfortrainingRLmodelsbecauseofitsefficiencyandeaseofuse.Withthisbook,you'llexploretheimportantRLconceptsandtheimplementationofalgorithmsinPyTorch1.x.Therecipesinthebook,alongwithreal-worldexamples,willhelpyoumastervariousRLtechniques,suchasdynamicprogramming,MonteCarlosimulations,temporaldifference,andQ-learning.You'llalsogaininsightsintoindustry-specificapplicationsofthesetechniques.Laterchapterswillguideyouthroughsolvingproblemssuchasthemulti-armedbanditproblemandthecartpoleproblemusingthemulti-armedbanditalgorithmandfunctionapproximation.You'llalsolearnhowtouseDeepQ-NetworkstocompleteAtarigames,alongwithhowtoeffectivelyimplementpolicygradients.Finally,you'lldiscoverhowRLtechniquesareappliedtoBlackjack,Gridworldenvironments,internetadvertising,andtheFlappyBirdgame.Bytheendofthisbook,you'llhavedevelopedtheskillsyouneedtoimplementpopularRLalgorithmsanduseRLtechniquestosolvereal-worldproblems.

Yuxi (Hayden) Liu ·自動化 ·6.6萬字

Hands-On Data Analysis with NumPy and pandas
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Hands-On Data Analysis with NumPy and pandas

Hands-OnDataAnalysiswithNumPyandPandasisforyouifyouareaPythondeveloperandwanttotakeyourfirststepsintotheworldofdataanalysis.Nopreviousexperienceofdataanalysisisrequiredtoenjoythisbook.

Curtis Miller ·自動化 ·2.2萬字

Godot Engine Game Development Projects
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Godot Engine Game Development Projects

GodotEngineGameDevelopmentProjectsisforbothnewusersandexperienceddevelopers,whowanttolearntomakegamesusingamoderngameengine.Somepriorprogrammingexperienceisrecommended.

Chris Bradfield ·自動化 ·5.8萬字

Mastering Kubernetes
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Mastering Kubernetes

ThethirdeditionofMasteringKubernetesisupdatedwiththelatesttoolsandcodeenablingyoutolearnKubernetes1.18’slatestfeatures.ThisbookprimarilyconcentratesondivingdeeplyintocomplexconceptsandKubernetesbestpracticestohelpyoumastertheskillsofdesigninganddeployinglargeclustersonvariouscloudplatforms.ThebooktrainsyoutoruncomplexstatefulmicroservicesonKubernetesincludingadvancedfeaturessuchashorizontalpodautoscaling,rollingupdates,resourcequotas,andpersistentstoragebackend.Withthetwonewchapters,youwillgainexpertiseinserverlesscomputingandutilizingservicemeshes.Asyouproceedthroughthechapters,youwillexploredifferentoptionsfornetworkconfigurationandlearntosetup,operate,andtroubleshootKubernetesnetworkingpluginsthroughreal-worldusecases.Furthermore,youwillunderstandthemechanismsofcustomresourcedevelopmentanditsutilizationinautomationandmaintenanceworkflows.BytheendofthisKubernetesbook,youwillgraduatefromanintermediatetoadvancedKubernetesprofessional.

Gigi Sayfan ·自動化 ·13.2萬字

Building Analytics Teams
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Building Analytics Teams

InBuildingAnalyticsTeams,JohnK.Thompson,withhis30+yearsofexperienceandexpertise,illustratesthefundamentalconceptsofbuildingandmanagingahigh-performanceanalyticsteam,includingwhattodo,whotohire,projectstoundertake,andwhattoavoidinthejourneyofbuildingananalyticallysoundteam.Thecoreprocessesincreatinganeffectiveanalyticsteamandtheimportanceofthebusinessdecision-makinglifecycleareexploredtohelpachieveinitialandsustainablesuccess.Thebookdemonstratesthevarioustraitsofasuccessfulandhigh-performinganalyticsteamandthendelineatesthepathtoachievethiswithinsightsonthemindset,advancedanalyticsmodels,andpredictionsbasedondataanalytics.Italsoemphasizesthesignificanceofthemacroandmicroprocessesrequiredtoevolveinresponsetorapidlychangingbusinessneeds.Thebookdivesintothemethodsandpracticesofmanaging,developing,andleadingananalyticsteam.Onceyou'vebroughttheteamuptospeed,thebookexplainshowtogovernexecutiveexpectationsandselectwinningprojects.Bytheendofthisbook,youwillhaveacquiredtheknowledgetocreateaneffectivebusinessanalyticsteamanddevelopaproductionenvironmentthatdeliversongoingoperationalimprovementsforyourorganization.

John K. Thompson Douglas B. Laney ·自動化 ·10.5萬字

Hands-On Python Natural Language Processing
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Hands-On Python Natural Language Processing

NaturalLanguageProcessing(NLP)isthesubfieldincomputationallinguisticsthatenablescomputerstounderstand,process,andanalyzetext.Thisbookcaterstotheunmetdemandforhands-ontrainingofNLPconceptsandprovidesexposuretoreal-worldapplicationsalongwithasolidtheoreticalgrounding.ThisbookstartsbyintroducingyoutothefieldofNLPanditsapplications,alongwiththemodernPythonlibrariesthatyou'llusetobuildyourNLP-poweredapps.Withthehelpofpracticalexamples,you’lllearnhowtobuildreasonablysophisticatedNLPapplications,andcovervariousmethodologiesandchallengesindeployingNLPapplicationsintherealworld.You'llcoverkeyNLPtaskssuchastextclassification,semanticembedding,sentimentanalysis,machinetranslation,anddevelopingachatbotusingmachinelearninganddeeplearningtechniques.Thebookwillalsohelpyoudiscoverhowmachinelearningtechniquesplayavitalroleinmakingyourlinguisticappssmart.Everychapterisaccompaniedbyexamplesofreal-worldapplicationstohelpyoubuildimpressiveNLPapplicationsofyourown.BytheendofthisNLPbook,you’llbeabletoworkwithlanguagedata,usemachinelearningtoidentifypatternsintext,andgetacquaintedwiththeadvancementsinNLP.

Aman Kedia Mayank Rasu ·自動化 ·6.7萬字

CentOS 8 Essentials
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CentOS 8 Essentials

Linuxkerneldevelopmentisperhapstheworld'slargestcollaborativeprojecttodate.WithCentOS8Essentials,you’llbegiveneasilyaccessibleinformationtoinstall,use,andadministertheCentOS8distribution.ThebookbeginswithaconcisehistoryoftheLinuxoperatingsystemandCentOS.You’llthenlearnhowtoinstallCentOS8usingthedualbootconfigurationsothatitcancoexistwithWindowsonthesamedrive.AfterinstallingCentOS,you’lllearnGNOME3—thedesktopenvironmentincludedwithCentOS8thathelpsyounavigatethroughthedistribution.Asyouprogress,you’llexploretheCockpitwebinterfacethatenablesyoutoperformtasksviaawebbrowserinsteadofusingthecommand-line.You’llthentakeabrieftouroftheBashshellenvironmentandlearnwaystoadministerasystemthatdoesn’thaveadesktoporaCockpitinterface.Whilelearningadvancedconcepts,you’llseehowtomanageswapspaceefficientlyandcontroltheperformanceofCentOS8.Bytheendofthebook,you’llhavealltheessentialinformationyouneedtocomfortablystartusingtheCentOS8distribution.

Neil Smyth ·自動化 ·6.4萬字

Practical Site Reliability Engineering
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Practical Site Reliability Engineering

Sitereliabilityengineering(SRE)isbeingtoutedasthemostcompetentparadigminestablishingandensuringnext-generationhigh-qualitysoftwaresolutions.ThisbookstartsbyintroducingyoutotheSREparadigmandcoverstheneedforhighlyreliableITplatformsandinfrastructures.Asyoumakeyourwaythroughthenextsetofchapters,youwilllearntodevelopmicroservicesusingSpringBootandmakeuseofRESTfulframeworks.YouwillalsolearnaboutGitHubfordeployment,containerization,andDockercontainers.PracticalSiteReliabilityEngineeringteachesyoutosetupandsustaincontainerizedcloudenvironments,andalsocoversarchitecturalanddesignpatternsandreliabilityimplementationtechniquessuchasreactiveprogramming,andlanguagessuchasBallerinaandRust.Intheconcludingchapters,youwillgetwell-versedwithservicemeshsolutionssuchasIstioandLinkerd,andunderstandserviceresiliencetestpractices,APIgateways,andedge/fogcomputing.Bytheendofthisbook,youwillhavegainedexperienceonworkingwithSREconceptsandbeabletodeliverhighlyreliableappsandservices.

Pethuru Raj Chelliah Shreyash Naithani Shailender Singh ·自動化 ·8.6萬字

Julia 1.0 Programming Cookbook
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Julia 1.0 Programming Cookbook

Julia,withitsdynamicnatureandhigh-performance,providescomparativelyminimaltimeforthedevelopmentofcomputationalmodelswitheasy-to-maintaincomputationalcode.Thisbookwillbeyoursolution-basedguideasitwilltakeyouthroughdifferentprogrammingaspectswithJulia.StartingwiththenewfeaturesofJulia1.0,eachrecipeaddressesaspecificproblem,providingasolutionandexplaininghowitworks.YouwillworkwiththepowerfulJuliatoolsanddatastructuresalongwiththemostpopularJuliapackages.Youwilllearntocreatevectors,handlevariables,andworkwithfunctions.Youwillbeintroducedtovariousrecipesfornumericalcomputing,distributedcomputing,andachievinghighperformance.Youwillseehowtooptimizedatascienceprogramswithparallelcomputingandmemoryallocation.Wewilllookintomoreadvancedconceptssuchasmetaprogrammingandfunctionalprogramming.Finally,youwilllearnhowtotackleissueswhileworkingwithdatabasesanddataprocessing,andwilllearnaboutondatascienceproblems,datamodeling,dataanalysis,datamanipulation,parallelprocessing,andcloudcomputingwithJulia.Bytheendofthebook,youwillhaveacquiredtheskillstoworkmoreeffectivelywithyourdata

Bogumi? Kamiński Przemys?aw Szufel ·自動化 ·9.1萬字

Apache Ignite Quick Start Guide
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Apache Ignite Quick Start Guide

ApacheIgniteisadistributedin-memoryplatformdesignedtoscaleandprocesslargevolumeofdata.Itcanbeintegratedwithmicroservicesaswellasmonolithicsystems,andcanbeusedasascalable,highlyavailableandperformantdeploymentplatformformicroservices.ThisbookwillteachyoutouseApacheIgniteforbuildingahigh-performance,scalable,highlyavailablesystemarchitecturewithdataintegrity.ThebooktakesyouthroughthebasicsofApacheIgniteandin-memorytechnologies.YouwilllearnaboutinstallationandclusteringIgnitenodes,cachingtopologies,andvariouscachingstrategies,suchascacheaside,readandwritethrough,andwritebehind.Next,youwilldelveintodetailedaspectsofIgnite’sdatagrid:websessionclusteringandqueryingdata.YouwilllearnhowtoprocesslargevolumesofdatausingcomputegridandIgnite’smap-reduceandexecutorservice.YouwilllearnaboutthememoryarchitectureofApacheIgniteandmonitoringmemoryandcaches.YouwilluseIgniteforcomplexeventprocessing,eventstreaming,andthetime-seriespredictionsofopportunitiesandthreats.Additionally,youwillgothroughoff-heapandon-heapcaching,swapping,andnativeandSpringframeworkintegrationwithApacheIgnite.Bytheendofthisbook,youwillbeconfidentwithallthefeaturesofApacheIgnite2.xthatcanbeusedtobuildahigh-performancesystemarchitecture.

Sujoy Acharya ·自動化 ·4.2萬字

Kubernetes on AWS
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Kubernetes on AWS

Dockercontainerspromisetoradicalizethewaydevelopersandoperationsbuild,deploy,andmanageapplicationsrunningonthecloud.Kubernetesprovidestheorchestrationtoolsyouneedtorealizethatpromiseinproduction.KubernetesonAWSguidesyouindeployingaproduction-readyKubernetesclusterontheAWSplatform.YouwillthendiscoverhowtoutilizethepowerofKubernetes,whichisoneofthefastestgrowingplatformsforproduction-basedcontainerorchestration,tomanageandupdateyourapplications.Kubernetesisbecomingthego-tochoiceforproduction-gradedeploymentsofcloud-nativeapplications.ThisbookcoversKubernetesfromfirstprinciples.YouwillstartbylearningaboutKubernetes'powerfulabstractions-PodsandServices-thatmakemanagingcontainerdeploymentseasy.Thiswillbefollowedbyaguidedtourthroughsettingupaproduction-readyKubernetesclusteronAWS,whilelearningthetechniquesyouneedtosuccessfullydeployandmanageyourownapplications.Bytheendofthebook,youwillhavegainedplentyofhands-onexperiencewithKubernetesonAmazonWebServices.Youwillalsohavepickedupsometipsondeployingandmanagingapplications,keepingyourclusterandapplicationssecure,andensuringthatyourwholesystemisreliableandresilienttofailure.

Ed Robinson ·自動化 ·6.4萬字

Web性能權(quán)威指南
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Web性能權(quán)威指南

本書作者是世界頂尖的Web性能工程師，他在書中深入淺出地講解并演示了針對TCP、UDP和TLS協(xié)議的性能優(yōu)化最佳實(shí)踐，以及面向無線和移動網(wǎng)絡(luò)進(jìn)行優(yōu)化時的特殊要求。隨后，他全面剖析了瀏覽器技術(shù)的幾項(xiàng)重大革新，包括使用這些新技術(shù)時在性能方面需要的獨(dú)到考量。革命性的HTTP2.0、XHR客戶端網(wǎng)絡(luò)腳本、基于SSE及WebSocket的實(shí)時數(shù)據(jù)流，以及通過WebRTC實(shí)現(xiàn)P2P通信，對這些面向未來的重大瀏覽器技術(shù)，本書都從性能優(yōu)化的角度給出了詳盡的解讀和分析。

(加)Ilya Grigorik ·自動化 ·16萬字

從計(jì)算機(jī)集成制造到智能制造：循序漸進(jìn)與突變
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從計(jì)算機(jī)集成制造到智能制造：循序漸進(jìn)與突變

本書從兩個部分介紹了工業(yè)革命的發(fā)展歷程和智能制造的具體應(yīng)用。第一部分介紹了人類歷史發(fā)展中先進(jìn)的制造模式，主要內(nèi)容包括：生產(chǎn)方式的變遷、先進(jìn)制造模式的應(yīng)用對象、先進(jìn)制造模式的進(jìn)化、先進(jìn)制造模式的比較；第二部分介紹新工業(yè)革命與智能制造，其中包括新工業(yè)革命前夜、工業(yè)4.0、工業(yè)互聯(lián)網(wǎng)、智慧云制造等內(nèi)容。

朱文海 ·自動化 ·17.2萬字

Flink原理與實(shí)踐
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Flink原理與實(shí)踐

本書圍繞大數(shù)據(jù)流處理領(lǐng)域，介紹FlinkDataStreamAPI、時間和窗口、狀態(tài)和檢查點(diǎn)、TableAPI和SQL等知識。本書以實(shí)踐為導(dǎo)向，使用大量真實(shí)業(yè)務(wù)場景案例來演示如何基于Flink進(jìn)行流處理。本書主要面向?qū)Υ髷?shù)據(jù)領(lǐng)域感興趣的本科生、研究生，想轉(zhuǎn)行到大數(shù)據(jù)開發(fā)行業(yè)的在職人員，或有一定大數(shù)據(jù)開發(fā)經(jīng)驗(yàn)的相關(guān)從業(yè)人員。讀者最好有一定的Java或Scala編程基礎(chǔ)，掌握計(jì)算機(jī)領(lǐng)域的常見技術(shù)概念。

魯蔚征編著 ·自動化 ·14.7萬字

數(shù)據(jù)處理與深度學(xué)習(xí)
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數(shù)據(jù)處理與深度學(xué)習(xí)

本書是一本學(xué)術(shù)著作，本書的前面幾章是深度學(xué)習(xí)神經(jīng)網(wǎng)絡(luò)與大數(shù)據(jù)智能處理的理論方法部分；接下來幾章是深度學(xué)習(xí)神經(jīng)網(wǎng)絡(luò)與大數(shù)據(jù)智能處理的應(yīng)用實(shí)踐部分。本書原創(chuàng)性在于提出、研究并給出了十四種深度學(xué)習(xí)神經(jīng)網(wǎng)絡(luò)與大數(shù)據(jù)智能處理新理論新方法和新應(yīng)用。本書適用于高等院校、科研院所及企事業(yè)單位的科研及教學(xué)用書。

朱定局 ·自動化 ·10.7萬字

最簡數(shù)據(jù)挖掘
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最簡數(shù)據(jù)挖掘

本書是數(shù)據(jù)挖掘精髓的濃縮。第1章用通俗易懂的語言回答五個基本問題，包括什么是數(shù)據(jù)，什么是大數(shù)據(jù)，什么是數(shù)據(jù)挖掘，以及數(shù)據(jù)挖掘能挖掘出哪些東西和會產(chǎn)生什么價(jià)值。然后用6章的篇幅，介紹k-均值、k-近鄰、樸素貝葉斯、決策樹、回歸分析和關(guān)聯(lián)規(guī)則挖掘等6種方法。第8章介紹一些實(shí)際的應(yīng)用，演示簡單的數(shù)據(jù)挖掘方法如何產(chǎn)生巨大的價(jià)值。本書可供高校的數(shù)據(jù)科學(xué)與大數(shù)據(jù)、智能科學(xué)與技術(shù)、人工智能、計(jì)算機(jī)科學(xué)與技術(shù)和統(tǒng)計(jì)類、應(yīng)用數(shù)學(xué)等相關(guān)專業(yè)的學(xué)生作為教材使用，也可供高校的商科大數(shù)據(jù)、金融等專業(yè)的學(xué)生、優(yōu)秀的中學(xué)生、科技企業(yè)的管理者和相關(guān)行業(yè)的投資人學(xué)習(xí)參考。

周濤 ·自動化 ·5.9萬字

AI成“神”之日：人工智能的終極演變
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AI成“神”之日：人工智能的終極演變

本書頗具科幻味道，對人工智能未來進(jìn)行了大膽預(yù)言。作者從獨(dú)特的角度分析了未來人類和人工智能相處的方式與方法，對未來高度發(fā)達(dá)的人工智能社會的社會模式有獨(dú)到的見解。本書是一本站在歷史的高度，從哲學(xué)角度拷問科技力量對人類未來演變的書。本書是一本充滿想象與預(yù)言，但又不失科學(xué)論證的書。本書提供了一個嶄新的視角：21世紀(jì)既是數(shù)百年以來科技、創(chuàng)意的頂點(diǎn)，又是對人類終極命運(yùn)真摯的愿景。本書論述嚴(yán)謹(jǐn)，案例豐富，深入闡釋了人工智能臨近“奇點(diǎn)”時人類可能面臨的境況，并闡釋了奇點(diǎn)在世界范圍內(nèi)所產(chǎn)生的廣泛影響，并介紹了人工智能在哲學(xué)、科學(xué)、技術(shù)、藝術(shù)等各個方面所展示的獨(dú)特魅力以及對人類未來的影響。本書適合對人工智能感興趣的讀者閱讀。

(日)松本徹三 ·自動化 ·10.4萬字

設(shè)計(jì)中的人因：34個設(shè)計(jì)小故事
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設(shè)計(jì)中的人因：34個設(shè)計(jì)小故事

本書收錄了34個人因科學(xué)小故事，旨在通過簡單化、生活化的解讀，帶領(lǐng)大家走進(jìn)設(shè)計(jì)中的人因?？萍家呀?jīng)滲透到我們生活方方面面，而人因多種多樣，人與科技如何互相影響？科技又如何為人類和諧和幸福服務(wù)？本書從生活中的人因、即將來臨的老年社會、產(chǎn)品設(shè)計(jì)與評估、人工智能與機(jī)器人四個角度全面解讀科技發(fā)展和人因?qū)θ藗兩畹挠绊憽１緯荚趲椭x者從科學(xué)的角度理解人類的差異化需求和特征，以及科技發(fā)展給產(chǎn)品設(shè)計(jì)帶來的機(jī)遇和挑戰(zhàn)。

饒培倫 李紫陽 紀(jì)翔 ·自動化 ·5.2萬字

AlphaGo如何戰(zhàn)勝人類圍棋大師：智能硬件TensorFlow實(shí)踐
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AlphaGo如何戰(zhàn)勝人類圍棋大師：智能硬件TensorFlow實(shí)踐

本書主要闡述了當(dāng)前機(jī)器智能的熱點(diǎn)技術(shù)——深度學(xué)習(xí)和強(qiáng)化學(xué)習(xí)技術(shù)的原理。在此基礎(chǔ)上，介紹AlphaGo結(jié)合深度學(xué)習(xí)和強(qiáng)化學(xué)習(xí)技術(shù)，如何戰(zhàn)勝人類圍棋大師的原理。接下來，將深度學(xué)習(xí)的理論轉(zhuǎn)化為實(shí)踐，給出如何通過掌握TensorFlow和Keras深度學(xué)習(xí)框架，制作聲控智能硬件的例子，同時給出機(jī)器視覺的對象檢測案例，指導(dǎo)讀者逐步學(xué)習(xí)使用深度學(xué)習(xí)技術(shù)。本書的主要特點(diǎn)是實(shí)踐操作，用實(shí)用可運(yùn)行的案例來上手。本書可作為實(shí)踐入門指導(dǎo)書，適用于對機(jī)器智能有興趣的高年級本科生，也適合于對機(jī)器智能有興趣的人員參考。

陳震 鄭文勛編著 ·自動化 ·4.2萬字

QQ閱讀手機(jī)版

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