Halcon深度学习2标注工具DeepLearningTool下载安装

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halcon深度学习部分自带的例程，使用的数据集都是COCO文件。查了一圈没弄懂怎么建数据集，后来在halcon官网发现有一个深度学习工具（MVTecDeepLearningTool）是用来生成数据.../deep-learning-tool/然后注册一下，就可以下载了，可以直接使用，无需破解下载完成后，界面如下图根据数据集的作用可以分为：分类、目标检测（无方向）、目标检测（有方向）。这里以目标检测（无方向）为例

我使用的版本HDevelop20.05Progress(64-bit)-MVTecHALCON我的Halcon安装路径：D:\ProgramFiles\Halcon20Halcon默认例程路径：C:\Users\Public\Documents\MVTec\HALCON-20.05-Progress\examples\hdevelopHalcon程序中默认图片路径：C

1.选择配置属性里面的C/C++--常规—附加包含目录里面编辑输入C:\ProgramFiles\MVTec\HALCON-13.0\include;C:\ProgramFiles\MVTec\HALCON-13.0\include\halconcpp;2.选择配置属性里面的链接器--常规—附加库目录里面编辑输入C:\ProgramFiles\MVTec

,Germany;www.mvtec.com)hasalsoincorporateddeeplearningtechnologyintoitswell-knownHALCONandMERLICmachinevisionsoftwareproducts.SinceHALCON13,MVTecisofferingdeep-learningbased

本文部分内容来自KTH课程DeepLearninginDataScience.部分内容为Cousera吴恩达课程deeplearning.ai.有可能会出现图片打不开的情况，翻墙会解决这个问题目录1FromDeepLearninginDataSciencecourse2FromDeepLearninhg.aiCourse1：NeuralNetworks...

1.what这个技术是什么官方文档定义深度学习是指多层神经网络上运用各种机器学习算法解决图像，文本等各种问题的算法集合。对比同类技术的优缺点，适用场景（tobecontinue）Deeplearning本身算是machinelearning的一个分支，简单可以理解为neuralnetwork的发展。二者的相同在于deeplearning采用了神经网络相似的分层结构，系统由包括...

Author:LiChong0309Label:DeepLearning、ArtificialIntelligence1TheDevelopmentofDeepLearning1.1TuringTesting(图灵测试)1.2医学上的发现1.3DeepLearning的出现2.机器学习3.深度学习与传统神经网络的区别ArtificialInte...

eclipse快捷键（Mac）查找方式打开eclipse注意有时候可能会出现如下图的情况。不用担心点一下eclipse的界面就好！得到如图所示点击eclipse选择preference-General-Keys就可以看到基本的快捷键示意图啦！...

按照插分页符、奇偶页不同、按不同章节设置完页眉后，会发现页脚奇数页和偶数页也不同，一般来说是奇数页有页码，偶数页没有。此时只需要再把鼠标移动到偶数页页码位置，点页码----->页面底端----普通数字2，那么偶数页码出来了。如果不同章节中又出现了页码断了的情况，则将页码格式设置为续前节即可。...

第三方集成方案为炙手可热的存储-托管网站带来更多强大功能开发人员之选：七款最受欢迎的GitHub工具人气代码共享网站GitHub已经成功吸引到全球无数用户的目光，其代码库规模也保持着傲人的增速——当然，随之而来的则是滚滚不绝的...

引用百科介绍一下jmeter，jmeter，是Apache组织开发的基于Java的压力测试工具。最初被设计用于Web应用测试但后来扩展到其他测试领域。可以用于测试静态和动态资源例如静态文件、Java小服务程序、CGI脚本、Java对象、数据库、FTP服务器等等。它可以用于对服务器，网络或对象模拟繁重的负载来测试它们的强度或分析不同压力类型下的整体性能。可以使用它做性...

通过OnTheHub，可以免费office/windows正版***，永久使用。什么是OnTheHubOnTheHub致力于通过为学生和教师提供来自世界领先出版商的免费和折扣软件来消除教育障碍。通过以大大降低的价格提供产品，我们正在为学生提供成功所需的工具。我们已经与包括Microsoft，Adobe，IBM，Symantec和更多其他主要出版商的合作伙伴关系，为世界各地的学校提供独家折...

Iwroteaphp-redirectscript,thatsendstheusertodifferentpages,dependingonwhichdevicetheyusedtoaccessthepage.NowifIpostalinktothepage(www.ibeat.us/i.php)onfacebook,facebo...

Unabletoinitialise*.sofileslocatedinmylibsfolder.ThereisPermissionDeniederrorshowinginlogcat.Error:Pleasesuggestanysolutionforthesame.Thanksinadvance.Irecentlystumbledi...

MyApplicationisupgradedtowindows2012onIIS8.Applicationfunctioningisalsoasexpected.However,IIS8doesnotprovidefacilitytosetseparatedefaultdocumentpointingondifferentportbut...

EverytimeIcompilethisC++codeIgetathreadexceptionIcan'tunderstand.WhatiswronghereYouforgottocheckargc>=2beforeassigningargv[1]tothestringarg.Areyousureyouarerunni...

I'mtryingtodevelopaASP.netmvcapplicationusingentityframework6.Thereare2entitiesasDriver&DriverType.Whenaddinganewdrivertothedatabase,UsershouldbeabletoselecttheD...

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深学习综述讨论简介deepLearning课件.pptx

Neuralnetworksanddeeplearning

SpringBoot集成DeepLearning4j实现图片数字识别1.什么是DeepLearning4j？Deep

Halcon深度学习2标注工具DeepLearningTool下载安装

吴恩达deeplearning.ai五项课程完整笔记了解一下？

deeplearningGraphEmbedding学习笔记（3）：GraphConvolutionNetworks数据实验室

ClassifyTimeSeriesUsingWaveletAnalysisandDeepLearning

1.InstallationsupportforDeepLearningFrameworksfortheOnce you've installed the deep learning libraries, you can use the Deep Learning Tools to train geospatial deep learning models. You can also find out more about the capabilities of the arcgis.learn module which provides specialized access to many geospatial models beyond those directly available https://github.com/Esri/deep-learning-frameworks?tab=readme-ov-file
2.DeepLearning8元学习Few-Shot Learning和传统的监督学习有所不同,它的目标不是让计算机识别训练集里的图片,并且泛化到测试集,而是让计算机自己学会学习,我拿一个很大是数据集来训练神经网络,学习的目的不是让计算机知道什么是大象什么是老虎,不是让计算机识别没见过的大象和老虎,学习的目的是让计算机理解事物的异同,学会区分不同的事物,https://blog.csdn.net/zzqingyun/article/details/136940636
3.深度学习概述Learn 发现 产品文档 开发语言 主题 登录 搜索 ML.NET 概述 模型生成器和 CLI API 新增功能 教程 概念 ML.NET 任务 数据转换 算法 模型评估指标 提高模型准确性 操作指南 参考 资源 下载PDF 使用英语阅读 保存 添加到集合 添加到计划 通过 Facebookx.com 共享LinkedIn电子邮件 https://learn.microsoft.com/zh-cn/dotnet/machine-learning/deep-learning-overview
4.DeepLearning.AILearn and build diffusion models from the ground up, understanding each step. Learn about diffusion models in use today and implement algorithms to speed up sampling. Deep LearningDiffusion ModelsGenAI ApplicationsGenerative Models Building Systems with the ChatGPT API https://learn.deeplearning.ai/
5.DiveintoDeepLearning—DiveintoDeepLearning1.0.3Interactive deep learning book with code, math, and discussions Implemented with PyTorch, NumPy/MXNet, JAX, and TensorFlow Adopted at 500 universities from 70 countriesFollow @D2L_ai [Feb 2023] The book is forthcoming on Cambridge University Press (order). The Chinese version is the best https://www.d2l.ai/
6.DeepLearning[Book]Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem https://www.oreilly.com/library/view/deep-learning/9781491924570/
7.DeeplearningMathOnlineTomCircle1. Learn Everything in 《Deep Learning》: Math (eg. Gradient Descent – by French GrandMaster Cauchy 1847), Linear Algebra (eg. Matrix, Eigen-decomposition), Probability (eg. Bayesian, etc), Key Deep Learning techniques. Note: Available at Singapore National Library (LKC Reference #006.31).https://tomcircle.wordpress.com/tag/deeplearning/
8.DEEPLEARNING·DeepLearningINSTRUCTORSYann LeCun & Alfredo Canziani LECTURESWednesday 9:30 – 11:30, Zoom PRACTICATuesdays 9:30 – 10:30, Zoom FORUMr/NYU_DeepLearning DISCORDNYU DL MATERIAL2021 repo 2021 edition disclaimer Check the repo’sREADME.mdand learn about: https://cds.nyu.edu/deep-learning/
9.EclipseDeeplearning4jTheEclipseFoundationThe goal of theEclipse Deeplearning4jproject is simple: To enable artificial intelligence (AI) applications to run everywhere, for everyone. We’reThe media picks up on researchers’ ideas and the industry gets left behind. Most of the information people learn about AI through the media ishttps://www.eclipse.org/community/eclipse_newsletter/2019/december/2.php
10.综合DeepLearning的学习实践系列1基础介绍里面还有Hinton自己讲解Deep Belief Nets的视频：http://videolectures.net/jul09_hinton_deeplearn/ 这里https://developer.huawei.com/consumer/cn/forum/topic/0201113529329500003
11.RegressionandClassificationCourse(DeepLearning.AI)Learn the fundamentals of machine learning with Andrew Ng in this updated 3-course Specialization by DeepLearning.AI and Stanford Online. Build and train models using Python, NumPy, and scikit-learn for real-world AI applications. Ideal for beginners.https://www.coursera.org/learn/machine-learning
12.DeepLearningforNLPdeep learning is to explore how computers can take advantage of data to develop features and representations appropriate for complex interpretation learn structured tree outputs as well as vector representations for phrases and sentences. We cover both equations as well as applications. We showhttps://nlp.stanford.edu/courses/NAACL2013
13.deeplearningfromscratch斋藤康毅Python Machine Learning Machine Learning And Deep Learning From Scratch Illustrated With Python, Scikit-Learn, Keras, Theano And Tensorflow by Moubachir Madani Fadoul (z-lib.org).pdf 上传者:weixin_39397839时间:2020-06-22 Linux_From_Scratch.rar_From Scratch_linux_linux from scratch_scr https://www.iteye.com/resource/mahoon411-14055605
14.hands?Explore various possibilities with deep learning and gain amazing insights from data using Google's brainchild-- TensorFlow ?Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide https://bbs.pinggu.org/jg/kaoyankaobo_kaoyan_5925473_1.html
15.CrazyStoneDeepLearningCrazyStone DeepLearning 关注 3 厂商 Unbalance Corporation 游戏介绍 上次更新于2023/06/30 策略 简介The strongest, the best Go app in the world based on Crazy Stone employing Deep Learning technology ! New Features!! -IAGA Rating Certification Tests Challenge the Dan/Kyu tests provided by the https://www.taptap.cn/app/68160
16.Deeplearning:Dropout,DropConnect我使用的是Matlab的Deeplearning 的工具包https://github.com/rasmusbergpalm/DeepLearnToolbox, 我只使用的是简单地单隐层的感知机,数据是MNIST手写数字识别,该数据一共有60000个训练样本和10000个测试样本。图片大小是28 * 28,网络结构的层数是[784 512 10],100次迭代,minibatch大小是100,我做了在没有dropouthttps://www.jianshu.com/p/b349c4c82da3
17.UsingdeeplearningsurrogatestoimprovenewproductInstead, researchers have proposed that deep learning models could be trained using real-world data from existing products in the field. That could transform the way companies improve their products, with design and optimization tools that learn automatically from the performance of previous product https://www.mckinsey.com/capabilities/operations/our-insights/deep-learning-in-product-design
18.吴恩达深度学习编程练习–AndrewNg’sDeepLearning仅仅是为记录学习吴恩达老师 Deep Learning 课程,会不断更新。 第门课《神经网络和深度学习》 第周练习题答案 1. Basics with Numpy (optional assignment) importmath import numpy as np ### Building basic functions with numpy ## 1.1 - sigmoid function, np.exp() # GRADED FUNCTION: basic_https://aiti.fun/475.html
19.专知继Pytorch教程后,我们推出面向Java程序员的深度学习教程DeepLearning4J。Deeplearning4j的案例和资料很少,官方的doc文件也非常简陋,基本上所有的类和函数的都没有解释。为此,我们推出来自中科院自动化所专知小组博士生Hujun与Sanglei创作的-分布式Java开源深度学习框架Deeplearning4j学习教程,第六篇,用卷积神经网络CNN进行https://cloud.tencent.com/developer/article/1089085
20.StartHerewithMachineLearningDeep Learning (Keras) Deep learning is a fascinating and powerful field. State-of-the-art results are coming from the field of deep learning and it is a sub-field of machine learning that cannot be ignored. Here’s how to get started with deep learning: http://machinelearningmastery.com/start-here/
21.DeeplearningforirregularlyandregularlymissingdataDeep learning (DL) is a powerful tool for mining features from data, which can theoretically avoid assumptions (e.g., linear events) constraining conventional interpolation methods. Motivated by this and inspired by image-to-image translation, we applied DL to irregularly and regularly missing datahttps://www.nature.com/articles/s41598-020-59801-x
22.[DeeplearningAI笔记]第三章2.72.8多任务学习/迁移学习[DeeplearningAI笔记]第三章2.7-2.8多任务学习/迁移学习 觉得有用的话,欢迎一起讨论相互学习~ 吴恩达老师课程原地址 2.7 迁移学习 Transfer Learninig 神经网络可以从一个任务中习得知识,并将这些知识应用到另一个独立的任务中.例如:你已经训练好一个能够识别猫的系统,你利用这些知识或者这些知识的部分去完成更好的https://www.cnblogs.com/cloud-ken/p/7794250.html
23.机器学习MachineLearning集智百科多线性子空间学习算法 Multilinear Subspace Learning Algorithms旨在直接从多维数据的张量表示中学习低维的表示,而不是将它们重塑为高维向量。[41]深度学习算法 Deep Learning Algorithms发现了多层次的表示,或者是一个特征层次结构,具有更高层次、更抽象的特征,这些特征定义为(或可以生成)低层次的特征。有人认为,一个https://wiki.swarma.org/index.php/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0_Machine_Learning