cnn卷积神经网络的八篇最经典论文AlexNet：NIPS-2012-imagenet-classification-with-deep-convolutional-neural-networks-PaperVGG：Very-Deep-Convolutional-Networks-for-Large-Scale-Image-RecognitionNIN：network-in-networkResNet：Deep-Residual-Learning-for-Image-RecognitionInceptionV1-V4MobileNet：Efficient-ConVolutinal-Neural-Networks-for-Mobile-VisionNASNet：Learning-TransferableArchitectures-for-Scalable-Image-RecognitionShakeShake：Shake-Shake-regularization

Q-learning实现Atarigame-taxiv2，基于gymmodel。

MynameisFrankKane.Ispentnineyearsatamazon.comandimdb.com,wranglingmillionsofcustomerratingsandcustomertransactionstoproducethingssuchaspersonalizedrecommendationsformoviesandproductsand"peoplewhoboughtthisalsobought."Itellyou,IwishwehadApacheSparkback

由于公司不能连接gitee和githua,所以在家里从gitee上down下来后，上传csdn，到公司可以下载下来学习

在线学习（E-Learning）相关英语文献，毕业设计外文翻译资料

UnleashthepowerofcomputervisionwithPythonusingOpenCVAboutThisBookCreateimpressiveapplicationswithOpenCVandPythonFamiliarizeyourselfwithadvancedmachinelearningconceptsHarnessthepowerofcomputervisionwiththiseasy-to-followguideWhoThisBookIsForIntendedfornovicestotheworldofOpenCVandcomputervision,aswellasOpenCVveteransthatwanttolearnaboutwhat'snewinOpenCV3,thisbookisusefulasareferenceforexpertsandatrainingmanualforbeginners,orforanybodywhowantstofamiliarizethemselveswiththeconceptsofobjectclassificationanddetectioninsimpleandunderstandableterms.BasicknowledgeaboutPythonandprogrammingconceptsisrequired,althoughthebookhasaneasylearningcurvebothfromatheoreticalandcodingpointofview.WhatYouWillLearnInstallandfamiliarizeyourselfwithOpenCV3'sPythonAPIGraspthebasicsofimageprocessingandvideoanalysisIdentifyandrecognizeobjectsinimagesandvideosDetectandrecognizefacesusingOpenCVTrainanduseyourownobjectclassifiersLearnaboutmachinelearningconceptsinacomputervisioncontextWorkwithartificialneuralnetworksusingOpenCVDevelopyourowncomputervisionreal-lifeapplicationInDetailOpenCV3isastate-of-the-artcomputervisionlibrarythatallowsagreatvarietyofimageandvideoprocessingoperations.SomeofthemorespectacularandfuturisticfeaturessuchasfacerecognitionorobjecttrackingareeasilyachievablewithOpenCV3.Learningthebasicconceptsbehindcomputervisionalgorithms,models,andOpenCV'sAPIwillenablethedevelopmentofallsortsofreal-worldapplications,includingsecurityandsurveillance.Startingwithbasicimageprocessingoperations,thebookwilltakeyouthroughtoadvancedcomputervisionconcepts.Computervisionisarapidlyevolvingsciencewhoseapplicationsintherealworldareexploding,sothisbookwillappealtocomputervisionnovicesaswellas

Hands-On.Machine.Learning.with.Scikit-Learn.and.TensorFlowPDF与代码合集，亚马逊排名第一的机器学习与深度学习书籍

learning_compile_mod_wsgi编译mod_wsgi教程完整视频教程01准备Ubuntu系统.mp402安装Apache2.mp403安装Python.mp404编译mod_wsgi.mp405运行wsgi示例.mp406在Apache中运行Django网站.mp407容器化.mp4

Halcon19.11+20.05安装包。
包括：-windows.exe、-windows-deep-learning-core.exe、-deep-learning-data.exe、-runtime.exe

经典Q-learning走迷宫的MATLAB代码，假设一个情景，一个机器人处于一栋房子之中，希望他能够走出5号门。
假定此时机器人处于0号房间之中。

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。