文件名称:DeepLearnToolbox_CNN_lzbV3.0

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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
(系统自动生成,下载前可以参看下载内容)

下载文件列表





DeepLearnToolbox_CNN_lzbV3.0

............................\Main_CnnExample_RunThisFilePlease.m

............................\TrainTestSample.mat

............................\cnnbp.p

............................\cnnff.m

............................\cnninit.m

............................\cnntest.m

............................\cnntrain.m

............................\cnnupdate.m

............................\down.m

............................\dy.m

............................\fx.m

............................\normalize_lzb.m

............................\rot180.m

............................\up.m

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