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[matlab] deepGraspingCode

Description: 用深度学习做的机械抓取的目标识别，对桌面上的问题进行检测并识别出抓取的区域以及抓取方式-Learning to do with the depth of the object recognition mechanical crawl on the issues on the desktop to detect and identify the areas and crawl crawl way
Platform: | Size: 153600 | Author: Youmei Zhang | Hits:

[VC/MFC] deep

Description: 深度学习及其在目标和行为识别中的新进展,对大家有帮助-Deep learning and new progress in the goals and behavior recognition
Platform: | Size: 973824 | Author: tonny | Hits:

[Special Effects] NETAPI

Description: 这是一款基于深度置信网络的目标识别方法编程，值得初学者下载学习。-This is a program based on the depth of target recognition belief networks, it is worth downloading for beginners to learn.
Platform: | Size: 803840 | Author: hello | Hits:

[Documents] Deep-learning-and-new-progress-

Description: 深度学习是机器学习中的一个新的研究领域。通过深度学习的方法构建深度网络来抽取特征是目 前目标和行为识别中得到关注的研究方向。为引起更多计算机视觉领域研究者对深度学习进行探索和讨论，并推 动目标和行为识别的研究，对深度学习及其在目标和行为识别中的新进展给予概述。方法首先介绍深度学习领 域研究的基本状况、主要概念和原理 然后介绍近期利用深度学习在目标和行为识别应用中的一些新进展。结 果阐述了深度学习与神经网络之间的关系，深度学习的优缺点，以及目前深度学习理论需要解决的主要问题。 结论该文对拟将深度学习应用于目标和行为识别的研究人员有所帮助。-Depth learning machine learning is a new field of research. To extract features to build depth by deep learning of the network is to head Before the objectives and behavior recognition obtained in research attention. Computer vision is to attract more researchers to explore the depth of study and discussion, and push Moving targets and conduct research to identify the depth of learning and new progress in the goals and behavior recognition to give an overview. The method first introduced collar depth study Basic Situation field research, the main concepts and principles then describes recent advances in deep learning some new goals and behavior recognition applications use. Knot Fruit describes the relationship between the depth of learning and neural networks, the advantages and disadvantages of deep learning and deep learning theory main problems to be solved. Conclusion In this paper intends to apply to the target depth of learning and behavior recognition researchers help.
Platform: | Size: 988160 | Author: 广隶 | Hits:

[matlab] DeepLearnToolbox_CNN_lzbV2.0

Description: DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子邮件：luzhenbo2@qq.com 个人博客: http://blog.sina.com.cn/luzhenbo2 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：数据挖掘，数字信号(图像、视频)处理，人工智能与模式识别，群体智能优化，非线性与混沌，支持向量机，Matlab与VC++混编 擅长技能：战略规划，团队管理，C，C++，Matlab，OpenCV，DSP，并行计算，图像处理，模式识别，机器学习，智能视觉，神经网络，人脸检测，行人检测，车牌识别，机器视觉，特征提取，支持向量机，无人驾驶，自动驾驶，智能眼镜，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，数据挖掘，大数据 -DeepLearnToolbox CNN lzbV2.0 Deep Learning, convolution neural network, Matlab toolbox reference: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox Author: Lu Zhenbo E-mail: luzhenbo2@qq.com Personal blog: http://blog.sina.com.cn/luzhenbo2 Graduated: Naval University of Engineering, Naval Architecture and Marine Engineering (Underwater Acoustic), Dr. Proficient direction: data mining, digital signal (image, video) processing, artificial intelligence and pattern recognition, swarm intelligence optimization, nonlinear and chaotic, support vector machines, Matlab and VC++ mixed Good skills: strategic planning, team management, C, C++, Matlab, OpenCV, DSP, parallel computing, image processing, pattern recognition, machine learning, intelligent vision, neural networks, face detection, pedestrian detection, lice
Platform: | Size: 980992 | Author: 陆振波 | Hits:

[AI-NN-PR] DeepLearnToolbox_CNN_lzbV3.0

Description: CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子邮件：luzhenbo2@qq.com 个人博客: http://blog.sina.com.cn/luzhenbo2 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，Matlab与VC++混编 擅长技能：战略规划，团队管理，C，C++，Matlab，OpenCV，DSP，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行人检测，车牌识别，特征提取，智能眼镜，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，大数据 - CNN- the main program reference: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox Author: Lu Zhenbo E-mail: luzhenbo2@qq.com Personal blog: http://blog.sina.com.cn/luzhenbo2 Graduated: Naval University of Engineering, Naval Architecture and Marine Engineering (Underwater Acoustic), Dr. Proficient direction: signal processing, image processing, artificial intelligence, pattern recognition, support vector machines, deep learning, machine learning, machine vision, swarm intelligence, Matlab and VC++ mixed Good skills: strategic planning, team management, C, C++, Matlab, OpenCV, DSP, parallel computing, image processing, intelligent vision, convolution neural network, face detection, pedestrian detection, license plate recognition, feature extraction, smart glasses, driver assistance, ADAS, AdaBoost, LBP, H
Platform: | Size: 982016 | Author: 陆振波 | Hits:

[Graph Recognize] deepmask-master

Description: facebook开源包，能够进行图片目标的提取和识别，利用深度学习算法进行目标的识别训练。-Facebook open source package, be able to target extraction and recognition of images, the use of deep learning algorithm for target recognition training.
Platform: | Size: 1108992 | Author: wangliufeng | Hits:

[AI-NN-PR] OpenCode_luzhenbo

Description: [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行人检测，车牌识别，特征提取，无人驾驶，自动驾驶，毫米波雷达，激光雷达，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，数据挖掘，大数据 电子邮件：41670240@qq.com 微信：luzhenbo2 个人博客: http://blog.sina.com.cn/luzhenbo2 欢迎同行切磋交流，同时请自我介绍，内容包括：姓名、所在城市、所在单位，工作职责等。-[Original] chaos analysis, cluster analysis, support vector machine, group intelligent optimization, depth learning (convolution neural network) Matlab toolbox full open source version Download Author: Lu Zhenbo Graduated from: Naval University of Engineering, Marine and Marine Engineering (Underwater Engineering), Ph.D. Depth of learning, machine learning, machine vision, group intelligence, nonlinear and chaos, Matlab and VC++ mixed, large data (1), and a large number of data processing, Image processing, intelligent vision, convolutional neural network, face detection, pedestrian detection, license plate recognition, feature extraction, image processing, image processing, image processing, ADAS, AdaBoost, LBP, HOG, MeanShift, target detection, target recognition, target tracking, data mining, large data, radar, radar, autopilot, millimeter wave radar E-mail: 41670240@qq.com WeChat: luzhenbo2 Personal blog: http://blog.sina.com.cn/luzhenbo2 Welcome to peer exchange, and pleas
Platform: | Size: 1847296 | Author: 陆振波 | Hits:

[AI-NN-PR] NatureDeepReview

Description: 深度学习允许由多个处理层组成的计算模型来学习具有多个抽象层次的数据表示。这些方法极大地提高了语音识别、视觉对象识别、目标检测以及药物发现和基因组学等许多领域的最新进展。深度学习发现复杂的结构在大数据集，通过使用反向传播算法来指示一台机器应该如何改变其内部参数，用于计算在每一层的代表性，从上一层的代表。深层卷积网在处理图像、视频、语音和音频方面取得了突破性进展，而递归网络则在文本和语音等连续数据上起到了作用。(Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech.)
Platform: | Size: 1505280 | Author: 飞飞花儿 | Hits:

[Mathimatics-Numerical algorithms] 深度学习目标识别算法文件

Description: 深度学习目标识别算法文件，供参考！便于开展深度学习领域的入门和目标识别等等领域
Platform: | Size: 102829939 | Author: xjwusjtu@foxmail.com | Hits:

[Special Effects] 可以运行

Description: 使用ssd深度学习方法来实现生活中想要识别的目标(Using SSD in-depth learning method to achieve the goals you want to identify in your life)
Platform: | Size: 27229184 | Author: Fly0215 | Hits:

[matlab] Matlab深度学习数字识别代码

Description: Matlab深度学习数字识别代码，完整可用。包含训练好的深度神经网络和OCR算法，对包含数字图像的目标进行定位，分割，然后通过OCR算法完成文本识别。
Platform: | Size: 54209 | Author: 122564459@qq.com | Hits:

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