非常经典的802.11无线局域网的教程。
Asweallknowbynow,wirelessnetworksoffermanyadvantagesoverfixed(orwired)networks.Foremostonthatlistismobility,sincegoingwirelessfreesyoufromthetetherofanEthernetcableatadesk.Butthat'sjustthetipofthecable-freeiceberg.Wirelessnetworksarealsomoreflexible,fasterandeasierforyoutouse,andmoreaffordabletodeployandmaintain.

Thisbookattemptstosimplifyandpresenttheconceptsofdeeplearninginaverycomprehensivemanner,withsuitable,full-fledgedexamplesofneuralnetworkarchitectures,suchasRecurrentNeuralNetworks(RNNs)andSequencetoSequence(seq2seq),forNaturalLanguageProcessing(NLP)tasks.Thebooktriestobridgethegapbetweenthetheoreticalandtheapplicable.Itproceedsfromthetheoreticaltothepracticalinaprogressivemanner,firstbypresentingthefundamentals,followedbytheunderlyingmathematics,and,finally,theimplementationofrelevantexamples.ThefirstthreechapterscoverthebasicsofNLP,startingwiththemostfrequentlyusedPythonlibraries,wordvectorrepresentation,andthenadvancedalgorithmslikeneuralnetworksfortextualdata.Thelasttwochaptersfocusentirelyonimplementation,dealingwithsophisticatedarchitectureslikeRNN,LongShort-TermMemory(LSTM)Networks,Seq2seq,etc.,usingthewidelyusedPythontoolsTensorFlowandKeras.Wehavetriedourbesttofollowaprogressiveapproach,combiningalltheknowledgegatheredtomoveontobuildingaquestion-and-answersystem.Thebookoffersagoodstartingpointforpeoplewhowanttogetstartedindeeplearning,withafocusonNLP.AllthecodepresentedinthebookisavailableonGitHub,intheformofIPythonnotebooksandscripts,whichallowsreaderstotryouttheseexamplesandextendthemininteresting,personalways.

WelcometoLongShort-TermMemoryNetworksWithPython.LongShort-TermMemory(LSTM)recurrentneuralnetworksareoneofthemostinterestingtypesofdeeplearningatthemoment.Theyhavebeenusedtodemonstrateworld-classresultsincomplexproblemdomainssuchaslanguagetranslation,automaticimagecaptioning,andtextgeneration.LSTMsareverydi↵erenttootherdeeplearningtechniques,suchasMultilayerPerceptrons(MLPs)andConvolutionalNeuralNetworks(CNNs),inthattheyaredesignedspecificallyforsequencepredictionproblems.IdesignedthisbookforyoutorapidlydiscoverwhatLSTMsare,howtheywork,andhowyoucanbringthisimportanttechnologytoyourownsequencepredictionproblems.

ImageNetpre-trainedResNet-50的caffemodel来源：https://github.com/KaimingHe/deep-residual-networks中提供的OneDrive链接

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

TheGoogleCloudCertifiedProfessionalCloudArchitectStudyGuideistheessentialresourceforanyonepreparingforthishighlysought-after,professional-levelcertification.Clearandaccuratechapterscover100%ofexamobjectives―helpingyougaintheknowledgeandconfidencetosucceedonexamday.Apre-bookassessmentquizhelpsyouevaluateyourskills,whilechapterreviewquestionsemphasizecriticalpointsoflearning.Detailedexplanationsofcrucialtopicsincludeanalyzinganddefiningtechnicalandbusinessprocesses,migrationplanning,anddesigningstoragesystems,networks,andcomputeresources.WrittenbyDanSullivan―awell-knownauthorandsoftwarearchitectspecializinginanalytics,machinelearning,andcloudcomputing―thisinvaluablestudyguideincludesaccesstotheSybexinteractiveonlinelearningenvironment,whichincludescompletepracticetests,electronicflashcards,asearchableglossary,andmore.Providingservicessuitableforawiderangeofapplications,particularlyinhigh-growthareasofanalyticsandmachinelearning,GoogleCloudisrapidlygainingmarketshareinthecloudcomputingworld.OrganizationsareseekingcertifiedITprofessionalswiththeabilitytodeployandoperateinfrastructure,services,andnetworksintheGoogleCloud.Takeyourcareertothenextlevelbyvalidatingyourskillsandearningcertification.DesignandplancloudsolutionarchitectureManageandprovisioncloudinfrastructureEnsurelegalcomplianceandsecuritystandardsUnderstandoptionsforimplementinghybridcloudsDevelopsolutionsthatmeetreliability,business,andtechnicalrequirementsTheGoogleCloudCertifiedProfessionalCloudArchitectStudyGuideisamust-haveforITprofessionalspreparingforcertificationtodeployandmanageGooglecloudservices.

Over110effectiverecipestohelpyoubuildandoperateOpenStackcloudcomputing,storage,networking,andautomationAboutThisBookExploremanynewfeaturesofOpenStack'sJunoandKiloreleasesInstall,configure,andadministercoreprojectswiththehelpofOpenStackObjectStorage,BlockStorage,andNeutronNetworkingservicesHarnesstheabilitiesofexperiencedOpenStackadministratorsandarchitects,andrunyourownprivatecloudsuccessfullyPractical,real-worldexamplesofeachserviceandanaccompanyingVagrantenvironmentthathelpsyoulearnquicklyInDetailOpenStackOpenSourcesoftwareisoneofthemostusedcloudinfrastructurestosupportsoftwaredevelopmentandbigdataanalysis.Itisdevelopedbyathrivingcommunityofindividualdevelopersfromaroundtheglobeandbackedbymostoftheleadingplayersinthecloudspacetoday.Itissimpletoimplement,massivelyscalable,andcanstorealargepoolofdataandnetworkingresources.OpenStackhasastrongecosystemthathelpsyouprovisionyourcloudstorageneeds.AddOpenStack'senterprisefeaturestoreducethecostofyourbusiness.Thisbookwillshowyouthestepstobuildupaprivatecloudenvironment.Atthebeginning,you'lldiscovertheusesofcloudservicessuchastheidentityservice,imageservice,andcomputeservice.You'lldiveintoNeutron,theOpenStackNetworkingservice,andgetyourhandsdirtywithconfiguringML2,networks,routers,andDistributedVirtualRouters.You'llthengathermoreexpertknowledgeonOpenStackcloudcomputingbymanagingyourcloud'ssecurityandmigration.Afterthat,wedelveintoOpenStackObjectstorageandhowtomanageserversandworkwithobjects,cluster,andstoragefunctionalities.Also,asyougodeeperintotherealmofOpenStack,you'lllearnpracticalexamplesofBlockstorage,LBaaS,andFWaaS:installationandconfigurationcoveredgroundup.Finally,youwilllearnOpenStackdashboard,AnsibleandForeman,Key

ImageNetpre-trainedResNet-101的caffemodel来源：https://github.com/KaimingHe/deep-residual-networks中提供的OneDrive链接

Neural_Networks_for_Applied_Sciences_and_Engineering，学习神经收集的资料

本书详尽介绍了多智能体抑制的阻滞，接着介绍了一阶以及二阶体系的leader-follower抑制，合围抑制。
离散体系的协同抑制也有详尽介绍。

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。