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.
2016/8/26 6:51:13 20.23MB neural network c#
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InthisLetter,wepresentadisplaysystembasedonacurvedscreenandparallaxbarrier,whichprovidesstereoimageswithahorizontalfieldofviewof360°withoutwearinganyeyewear,toachieveani妹妹ersiveautostereoscopiceffect.Thedisplayprincipleandcharacteristicsofthisdisplaysystemarestudiedtheoreticallyindetail.Threeconsecutivepixelsonacurvedscreenandparallaxbarrierformadisplayunit,whichcangenerateseparateviewingzonesfortheleftandrighteyes,res
2021/4/23 22:12:24 789KB
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Computationallearningtheoryisasubjectwhichhasbeenadvancingrapidlyinthelastfewyears.Theauthorsconcentrateontheprobablyapproximatelycorrectmodeloflearning,andgraduallydeveloptheideasofefficiencyconsiderations.Finally,applicationsofthetheorytoartificialneuralnetworksareconsidered.Manyexercisesareincludedthroughout,andthelistofreferencesisextensive.Thisvolumeisrelativelyselfcontainedasthenecessarybackgroundmaterialfromlogic,probabilityandcomplexitytheoryisincluded.Itwillthereforeformanintroductiontothetheoryofcomputationallearning,suitableforabroadspectrumofgraduatestudentsfromtheoreticalcomputerscienceandmathematics.
2019/1/3 3:57:27 26.33MB 计算论
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ThebookisidealfordeveloperswhohavebasicknowledgeofPythonandwanttobuildastrongfoundationinimplementingcomputervisionalgorithms.Thebookisalsosuitablefordeveloperswiththeoreticalknowledgeofcomputervisionbutwholacktheexperienceofimplementingthealgorithms.
2022/9/8 0:29:23 19.63MB python computer vision
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(含源码及报告)本程序分析了自2016年到2021年(外加)每年我国原油加工的产量,并且分析了2020年全国各地区原油加工量等,含饼状图,柱状图,折线图,数据在地图上显示。
运转本程序需要requests、bs4、csv、pandas、matplotlib、pyecharts库的支持,如果缺少某库请自行安装后再运转。
文件含6个excel表,若干个csv文件以及一个名字为render的html文件(需要用浏览器打开),直观的数据处理部分是图片以及html文件,可在地图中显示,数据处理的是excel文件。
不懂可以扫文件中二维码在QQ里面问。
2022/9/30 16:31:44 29.75MB 爬虫 python 源码软件 开发语言
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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。
2024-04-09 15:03 15KB 钉钉 钉钉打卡