keras-finetuning,使用你自己的数据集训练基于InceptionV3的图像分类器使用你自己的数据集训练InceptionV3-based图像分类器基于在的新集合中的微调(InceptionV3)，在https://keras.io/applications/中的例子依赖项最新的(来自源的＞=1.0

ThispaperproposesaHybridoptimization,whichcombinesintelligentgeneticalgorithmandnonlinearleastsquaresmethod.TheHybridoptimizationcanachievetheoptimaltuningvalueofADRCcontroller.UnderthecontrolstructureofMaximumPowerPointTracking(MPPT)strategyandActiveDisturbanc

ProductDetailsPaperback:384pagesPublisher:Addison-WesleyProfessional;1edition(May19,2006)Language:EnglishISBN-10:0321349601ISBN-13:978-0321349606--------------------------------------------"IwasfortunateindeedtohaveworkedwithafantasticteamonthedesignandimplementationoftheconcurrencyfeaturesaddedtotheJavaplatforminJava5.0andJava6.Nowthissameteamprovidesthebestexplanationyetofthesenewfeatures,andofconcurrencyingeneral.Concurrencyisnolongerasubjectforadvancedusersonly.EveryJavadevelopershouldreadthisbook."--MartinBuchholzJDKConcurrencyCzar,SunMicrosystems"Forthepast30years,computerperformancehasbeendrivenbyMoore'sLaw;fromnowon,itwillbedrivenbyAmdahl'sLaw.Writingcodethateffectivelyexploitsmultipleprocessorscanbeverychallenging.JavaConcurrencyinPracticeprovidesyouwiththeconceptsandtechniquesneededtowritesafeandscalableJavaprogramsfortoday's--andtomorrow's--systems."--DoronRajwanResearchScientist,IntelCorp"Thisisthebookyouneedifyou'rewriting--ordesigning,ordebugging,ormaintaining,orcontemplating--multithreadedJavaprograms.Ifyou'veeverhadtosynchronizeamethodandyouweren'tsurewhy,youoweittoyourselfandyouruserstoreadthisbook,covertocover."--TedNewardAuthorofEffectiveEnterpriseJava"Brianaddressesthefundamentalissuesandcomplexitiesofconcurrencywithuncommonclarity.Thisbookisamust-readforanyonewhousesthreadsandcaresaboutperformance."--KirkPepperdineCTO,JavaPerformanceTuning.com"Thisbookcoversaverydeepandsubtletopicinaveryclearandconciseway,makingittheperfectJavaConcurrencyreferencemanual.Eachpageisfilledwiththeproblems(andsolutions!)thatprogrammersstrugglewitheveryday.EffectivelyexploitingconcurrencyisbecomingmoreandmoreimportantnowthatMoore'sLawisdeliveringmorecore

Theacceleratingdeploymentoflarge-scaleweb,cloud,BigData,andvirtualizedcomputingsystemshasintroducedseriousnewchallengesinperformanceoptimization.Untilnow,however,littlereliable,practicalinformationhasbeenavailabletoITprofessionalswhoareresponsibleforrunningthesesystemsefficientlyandcost-effectively.SystemsPerformance:EnterpriseandtheCloudisthesolution.InternationallyrenownedperformanceoptimizationexpertBrendanGreggbringstogetherstate-of-the-arttechniquesandtoolsforanalysisandtuningoflarge-scaleweb/cloudcomputingenvironments.GreggfocusesonLinux/Unix/Solarisperformanceissues,whileofferingprovenmethodologiesanddiscussingkeyissuesthatapplytoallenterpriseoperatingsystems.Coverageincludes:Modernperformanceanalysisandcapacityplanning,includingkeyissuessuchaslatencyanddynamictracingNewperformanceandreliabilitychallengesassociatedwithcloudcomputingMethodology,concepts,terminology,tools,andmetricsKeytradeoffs,includingproblemsofloadvs.architectureTuningoperatingsystems,CPUs,memory,filesystems,disks,networks,andbussesTuningvirtualizedsystemsProgramminglanguageissuesrelatedtoperformance—includingapplicationprofilingforC,C++,Java,andnode.jsBenchmarkingstrategiesandpitfalls,includingcustommicrobenchmarking

英文原版，数字版，非影印版，无水印，有目录，第三版。
HowcanyoubringoutMySQL’sfullpower?WithHighPerformanceMySQL,you’lllearnadvancedtechniquesforeverythingfromdesigningschemas,indexes,andqueriestotuningyourMySQLserver,operatingsystem,andhardwaretotheirfullestpotential.Thisguidealsoteachesyousafeandpracticalwaystoscaleapplicationsthroughreplication,loadbalancing,highavailability,andfailover.UpdatedtoreflectrecentadvancesinMySQLandInnoDBperformance,features,andtools,thisthirdeditionnotonlyoffersspecificexamplesofhowMySQLworks,italsoteachesyouwhythissystemworksasitdoes,withillustrativestoriesandcasestudiesthatdemonstrateMySQL’sprinciplesinaction.Withthisbook,you’lllearnhowtothinkinMySQL.LearntheeffectsofnewfeaturesinMySQL5.5,includingstoredprocedures,partitioneddatabases,triggers,andviewsImplementimprovementsinreplication,highavailability,andclusteringAchievehighperformancewhenrunningMySQLinthecloudOptimizeadvancedqueryingfeatures,suchasfull-textsearchesTakeadvantageofmodernmulti-coreCPUsandsolid-statedisksExplorebackupandrecoverystrategies—includingnewtoolsforhotonlinebackups

Deeplearningsimplifiedbytakingsupervised,unsupervised,andreinforcementlearningtothenextlevelusingthePythonecosystemTransferlearningisamachinelearning(ML)techniquewhereknowledgegainedduringtrainingasetofproblemscanbeusedtosolveothersimilarproblems.Thepurposeofthisbookistwo-fold;firstly,wefocusondetailedcoverageofdeeplearning(DL)andtransferlearning,comparingandcontrastingthetwowitheasy-to-followconceptsandexamples.Thesecondareaoffocusisreal-worldexamplesandresearchproblemsusingTensorFlow,Keras,andthePythonecosystemwithhands-onexamples.ThebookstartswiththekeyessentialconceptsofMLandDL,followedbydepictionandcoverageofimportantDLarchitecturessuchasconvolutionalneuralnetworks(CNNs),deepneuralnetworks(DNNs),recurrentneuralnetworks(RNNs),longshort-termmemory(LSTM),andcapsulenetworks.Ourfocusthenshiftstotransferlearningconcepts,suchasmodelfreezing,fine-tuning,pre-trainedmodelsincludingVGG,inception,ResNet,andhowthesesystemsperformbetterthanDLmodelswithpracticalexamples.Intheconcludingchapters,wewillfocusonamultitudeofreal-worldcasestudiesandproblemsassociatedwithareassuchascomputervision,audioanalysisandnaturallanguageprocessing(NLP).Bytheendofthisbook,youwillbeabletoimplementbothDLandtransferlearningprinciplesinyourownsystems.WhatyouwilllearnSetupyourownDLenvironmentwithgraphicsprocessingunit(GPU)andCloudsupportDelveintotransferlearningprincipleswithMLandDLmodelsExplorevariousDLarchitectures,includingCNN,LSTM,andcapsulenetworksLearnaboutdataandnetworkrepresentationandlossfunctionsGettogripswithmodelsandstrategiesintransferlearningWalkthroughpotentialchallengesinbuildingcomplextransferlearningmodelsfromscratchExplorereal-worldresearchproblemsrelatedtocompute

Modelpredictivecontrol(MPC)hasalonghistoryinthefieldofcontrolen-gineering.Itisoneofthefewareasthathasreceivedon-goinginterestfromresearchersinboththeindustrialandacademiccommunities.Fourmajoras-pectsofmodelpredictivecontrolmakethedesignmethodologyattractivetobothpractitionersandacademics.Thefirstaspectisthedesignformulation,whichusesacompletelymultivariablesystemframeworkwheretheperfor-manceparametersofthemultivariablecontrolsystemarerelatedtotheengi-neeringaspectsofthesystem;hence,theycanbeunderstoodand‘tuned’byengineers.Thesecondaspectistheabilityofthemethodtohandleboth‘soft’constraintsandhardconstraintsinamultivariablecontrolframework.Thisisparticularlyattractivetoindustrywheretightprofitmarginsandlimitsontheprocessoperationareinevitablypresent.Thethirdaspectistheabilitytoperformon-lineprocessoptimization.Thefourthaspectisthesimplicityofthedesignframeworkinhandlingallthesecomplexissues.Thisbookgivesanintroductiontomodelpredictivecontrol,andrecentdevelopmentsindesignandimplementation.Beginningwithanoverviewofthefield,thebookwillsystematicallycovertopicsinrecedinghorizoncon-trol,MPCdesignformulations,constrainedcontrol,Laguerre-function-basedpredictivecontrol,predictivecontrolusingexponentialdataweighting,refor-mulationofclassicalpredictivecontrol,tuningofpredictivecontrol,aswellassimulationandimplementationusingMATLABandSIMULINKasaplatform.Bothcontinuous-timeanddiscrete-timemodelpredictivecontrolispresentedinasimilarframework.

SQLServer2017QueryPerformanceTuningFifhEditionTroubleshootandOptimizeQueryPerformance

2017年５月的新书，pdf版。
BookDescriptionInthissecondedition,youwillgettogripswiththelatestfeaturesofOpenStack.StartingwithanoverviewoftheOpenStackarchitecture,you'llseehowtoadopttheDevOpsstyleofautomationwhiledeployingandoperatinginanOpenStackenvironment.We'llshowyouhowtocreateyourownOpenStackprivatecloud.Thenyou'lllearnaboutvarioushypervisorsandcontainertechnologysupportedbyOpenStack.You'llgetanunderstandingaboutthesegregationofcomputenodesbasedonreliabilityandavailabilityneeds.We'llcovervariousstoragetypesinOpenStackandadvancednetworkingaspectssuchasSDNandNFV.Next,you'llunderstandtheOpenStackinfrastructurefromaclouduserpointofview.Movingon,you'lldeveloptroubleshootingskills,andgetacomprehensiveunderstandingofservicessuchashighavailabilityandfailoverinOpenStack.Finally,youwillgainexperienceofrunningacentralizedloggingserverandmonitoringOpenStackservices.ThebookwillshowyouhowtocarryoutperformancetuningbasedonOpenStackservicelogs.YouwillbeabletomasterOpenStackbenchmarkingandperformancetuning.Bytheendofthebook,you'llbereadytotakestepstodeployandmanageanOpenStackcloudwiththelatestopensourcetechnologies.

南瓜、西瓜、西红柿图片数据集，用于FineTuning的学习，包括训练集和验证集。
具体代码可参考：https://cchang.blog.csdn.net/article/details/86422080

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。