Hands-OnMachineLearningwithScikit-Learn,Keras,andTensorFlow2ed2019.pdfHands-OnMachineLearningwithScikit-Learn,Keras,andTensorFlowSECONDEDITIONConcepts,Tools,andTechniquestoBuildIntelligentSystems

WhatthisbookcoversChapter1,HelloRust!,givesashortrecapoftheRustprogra妹妹inglanguageandwhatchangedinthe2018edition.Chapter2,CargoandCrates,discussesRust'scargobuildtool.Wewillexploretheconfigurationaswellasthebuildprocessandmodularizationoptions.Chapter3,StoringEfficiently,looksathowinRust,knowingwherevaluesarestoredisnotonlyimportantforperformance,butalsoimportantforunderstandingerrormessagesandthelanguageingeneral.Inthischapter,wethinkaboutstackandheapmemory.Chapter4,Lists,Lists,andMoreLists,coversthefirstdatastructures:lists.Usingseveralexamples,thischaptergoesintovariationsofsequentialdatastructuresandtheirimplementations.Chapter5,RobustTrees,continuesourjourneythroughpopulardatastructures:treesarenextonthelist.Inseveraldetailedexamples,weexploretheinnerworkingsoftheseefficientdesignsandhowtheyimproveapplicationperformanceconsiderably.Chapter6,ExploringMapsandSets,exploresthemostpopularkey-valuestores:maps.Inthischapter,techniquessurroundinghashmaps;hashing;andtheircloserelative,theset;aredescribedindetail.Chapter7,CollectionsinRust,attemptstoconnecttotheRustprogra妹妹er'sdailylife,goingintothedetailsoftheRuststd::collectionslibrary,whichcontainsthevariousdatastructuresprovidedbytheRuststandardlibrary.Chapter8,AlgorithmEvaluation,teachesyouhowtoevaluateandcomparealgorithms.Chapter9,OrderingThings,willlookatsortingvalues,animportanttaskinprogra妹妹ing—thischapteruncovershowthatcanbedonequicklyandsafely.Chapter10,FindingStuff,movesontosearching,whichisespeciallyimportantifthereisnofundamentaldatastructuretosupportit.Inthesecases,weusealgorithmstobeabletoquicklyfindwhatwearelookingfor.Chapter11,RandomandCombinatorial,iswherewewillseethat,outsideofsortingandsearching,

Hands-OnSystemProgra妹妹ingwithC++:BuildperformantandconcurrentUnixandLinuxsystemswithC++17Author:Dr.RianQuinnPubDate:2018ISBN:978-1789137880Pages:552Language:EnglishFormat:PDFAhands-onguidetomakingsystemprogra妹妹ingwithC++easyC++isageneral-purposeprogra妹妹inglanguagewithabiastowardsystemprogra妹妹ingasitprovidesreadyaccesstohardware-levelresources,efficientcompilation,andaversatileapproachtohigher-levelabstractions.Thisbookwillhelpyouunderstandthebenefitsofsystemprogra妹妹ingwithC++17.YouwillgainafirmunderstandingofvariousC,C++,andPOSIXstandards,aswellastheirrespectivesystemtypesforbothC++andPOSIX.AfterabriefrefresheronC++,ResourceAcquisitionIsInitialization(RAII),andthenewC++GuidelineSupportLibrary(GSL),youwilllearntoprogramLinuxandUnixsystemsalongwithprocessmanagement.Asyouprogressthroughthechapters,youwillbecomeacquaintedwithC++’ssupportforIO.Youwillthenstudyvariousmemorymanagementmethods,includingachapteronallocatorsandhowtheybenefitsystemprogra妹妹ing.YouwillalsoexplorehowtoprogramfileinputandoutputandlearnaboutPOSIXsockets.ThisbookwillhelpyougettogripswithsafelysettingupaUDPandTCPserver/client.Finally,youwillbeguidedthroughUnixtimeinterfaces,multithreading,anderrorhandlingwithC++exceptions.Bytheendofthisbook,youwillbecomfortablewithusingC++toprogramhigh-qualitysystems.WhatyouwilllearnUnderstandthebenefitsofusingC++forsystemprogra妹妹ingProgramLinux/UnixsystemsusingC++DiscovertheadvantagesofResourceAcquisitionIsInitialization(RAII)ProgrambothconsoleandfileinputandoutputUncoverthePOSIXsocketAPIsandunderstandhowtoprogramthemExploreadvancedsystemprogra妹妹ingtopics,suchasC++allocatorsUsePOSIXandC++threadstoprogramconcurrentsystemsGrasphowC++canbeusedtocreateperformantsy

Neuralnetworkshavemadeasurprisecomebackinthelastfewyearsandhavebroughttremendousinnovationintheworldofartificialintelligence.ThegoalofthisbookistoprovideC#progra妹妹erswithpracticalguidanceinsolvingcomplexcomputationalchallengesusingneuralnetworksandC#librariessuchasCNTK,andTensorFlowSharp.Thisbookwilltakeyouonastep-by-steppracticaljourney,coveringeverythingfromthemathematicalandtheoreticalaspectsofneuralnetworks,tobuildingyourowndeepneuralnetworksintoyourapplicationswiththeC#and.NETframeworks.Thisbookbeginsbygivingyouaquickrefresherofneuralnetworks.YouwilllearnhowtobuildaneuralnetworkfromscratchusingpackagessuchasEncog,Aforge,andAccord.Youwilllearnaboutvariousconceptsandtechniques,suchasdeepnetworks,perceptrons,optimizationalgorithms,convolutionalnetworks,andautoencoders.Youwilllearnwaystoaddintelligentfeaturestoyour.NETapps,suchasfacialandmotiondetection,objectdetectionandlabeling,languageunderstanding,knowledge,andintelligentsearch.Throughoutthisbook,youwillbeworkingoninterestingdemonstrationsthatwillmakeiteasiertoimplementcomplexneuralnetworksinyourenterpriseapplications.

英文电子书。
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epub格局

:memo:直到今天:exclamation_mark:wally-wally의TIL용하실용하실출처나IL출처나하겠습니사하겠습니다:folded_hands::white_exclamation_mark::white_medium_star:星와:handshake:关注해주신사감리감좋은로보답하겠습니다:folded_hands::check_mark:wally-wally主页上的内容。
我的项目（投资组合）리스트가，알고리즘이내용이터추후githubTIL트리형태로구성해서github链接와정

Hands-OnComputerVisionwithJulia:BuildcomplexapplicationswithadvancedJuliapackagesforimageprocessing,neuralnetworks,andArtificialIntelligenceExplorethevariouspackagesinJuliathatsupportimageprocessingandbuildneuralnetworksforvideoprocessingandobjecttracking.KeyFeaturesBuildafull-fledgedimageprocessingapplicationusingJuliaImagesPerformbasictoadvancedimageandvideostreamprocessingwithJulia'sAPIsUnderstandandoptimizevariousfeaturesofOpenCVwitheasyexamplesBookDescriptionHands-OnComputerVisionwithJuliaisathoroughguidefordeveloperswhowanttogetstartedwithbuildingcomputervisionapplicationsusingJulia.Juliaiswellsuitedtoimageprocessingbecauseit'seasytouseandletsyouwriteeasy-to-compileandefficientmachinecode.ThisbookbeginsbyintroducingyoutoJulia'simageprocessinglibrariessuchasImages.jlandImageCore.jl.You'llgettogripswithanalyzingandtransformingimagesusingJuliaImages;someofthetechniquesdiscussedincludeenhancingandadjustingimages.Asyoumakeyourwaythroughthechapters,you'lllearnhowtoclassifyimages,clusterthem,andapplyneuralnetworkstosolvecomputervisionproblems.Intheconcludingchapters,youwillexploreOpenCVapplicationstoperformreal-timecomputervisionanalysis,forexample,facedetectionandobjecttracking.YouwillalsounderstandJulia'sinteractionwithTesseracttoperformopticalcharacterrecognitionandbuildanapplicationthatbringstogetherallthetechniquesweintroducedpreviouslytoconsolidatetheconceptslearned.Byendofthebook,youwillhaveunderstoodhowtoutilizevariousJuliapackagesandafewopensourcelibrariessuchasTesseractandOpenCVtosolvecomputervisionproblemswithease.WhatyouwilllearnAnalyzeimagemetadataandidentifycriticaldatausingJuliaImagesApplyfiltersandimproveimagequalityandcolorschemesExtract2Dfeaturesforimagecom

Hands-onTensorFlow2.0.pdf，　Hands-onTensorFlow2.0.pdf

Blynk,knownasthemostuser-friendlyIoTplatform,providesawaytobuildmobileapplicationsinminutes.WiththeBlynkdrag-n-dropmobileappbuilder,anyonecanbuildamazingIoTapplicationswithminimalresourcesandeffort,onhardwarerangingfromprototypingplatformssuchasArduinoandRaspberryPi3toindustrial-gradeESP8266,Intel,SierraWireless,Particle,TexasInstruments,andafewothers.ThisbookusesRaspberryPiasthemainhardwareplatformandC/C++towritesketchestobuildprojects.Thefirstpartofthisbookshowshowtosetupadevelopmentenvironmentwithvarioushardwarecombinationsandrequiredsoftware.ThenyouwillbuildyourfirstIoTapplicationwithBlynkusingvarioushardwarecombinationsandconnectivitytypessuchasEthernetandWi-Fi.Thenyou'lluseandconfigurevariouswidgets(control,display,notification,interface,timeinput,andsomeadvancedwidgets)withBlynkAppBuildertobuildapplications.Towardstheend,youwilllearnhowtoconnectwithandusebuilt-insensorsonAndroidandiOSmobiledevices.FinallyyouwilllearnhowtobuildarobotthatcanbecontrolledwithaBlynkappthroughtheBlynkcloudandpersonalserver.Bytheendofthisbook,youwillhavehands-onexperiencebuildingIoTapplicationsusingBlynk.WhatyouwilllearnBuilddevicesusingRaspberryPiandvarioussensorsandactuatorsUseBlynkcloudtoconnectandcontroldevicesthroughtheBlynkappConnectdevicestoBlynkcloudandserverthroughEthernetandWi-FiMakeapplicationsusingBlynkapps(AppBuilder)onAndroidandiOSplatformsRunBlynkpersonalserverontheWindows,MAC,andRaspberryPiplatformsWhoThisBookIsForThisbookistargetedatanystakeholderworkingintheIoTsectorwhowantstounderstandhowBlynkworksandbuildexcitingIoTprojects.PriorunderstandingofRaspberryPi,C/C++,andelectronicsisamust.TableofContentsSettingupDevelopmentEnvironmentBuildingyourFirstBly

Blynk,knownasthemostuser-friendlyIoTplatform,providesawaytobuildmobileapplicationsinminutes.WiththeBlynkdrag-n-dropmobileappbuilder,anyonecanbuildamazingIoTapplicationswithminimalresourcesandeffort,onhardwarerangingfromprototypingplatformssuchasArduinoandRaspberryPi3toindustrial-gradeESP8266,Intel,SierraWireless,Particle,TexasInstruments,andafewothers.ThisbookusesRaspberryPiasthemainhardwareplatformandC/C++towritesketchestobuildprojects.Thefirstpartofthisbookshowshowtosetupadevelopmentenvironmentwithvarioushardwarecombinationsandrequiredsoftware.ThenyouwillbuildyourfirstIoTapplicationwithBlynkusingvarioushardwarecombinationsandconnectivitytypessuchasEthernetandWi-Fi.Thenyou'lluseandconfigurevariouswidgets(control,display,notification,interface,timeinput,andsomeadvancedwidgets)withBlynkAppBuildertobuildapplications.Towardstheend,youwilllearnhowtoconnectwithandusebuilt-insensorsonAndroidandiOSmobiledevices.FinallyyouwilllearnhowtobuildarobotthatcanbecontrolledwithaBlynkappthroughtheBlynkcloudandpersonalserver.Bytheendofthisbook,youwillhavehands-onexperiencebuildingIoTapplicationsusingBlynk.WhatyouwilllearnBuilddevicesusingRaspberryPiandvarioussensorsandactuatorsUseBlynkcloudtoconnectandcontroldevicesthroughtheBlynkappConnectdevicestoBlynkcloudandserverthroughEthernetandWi-FiMakeapplicationsusingBlynkapps(AppBuilder)onAndroidandiOSplatformsRunBlynkpersonalserverontheWindows,MAC,andRaspberryPiplatformsWhoThisBookIsForThisbookistargetedatanystakeholderworkingintheIoTsectorwhowantstounderstandhowBlynkworksandbuildexcitingIoTprojects.PriorunderstandingofRaspberryPi,C/C++,andelectronicsisamust.TableofContentsSettingupDevelopmentEnvironmentBuildingyourFirstBly

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。