文件名称:DeepLearnToolbox_CNN_lzbV3.0
介绍说明--下载内容来自于网络,使用问题请自行百度
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
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/
DeepLearnToolbox_CNN_lzbV3.0/Main_CnnExample_RunThisFilePlease.m
DeepLearnToolbox_CNN_lzbV3.0/TrainTestSample.mat
DeepLearnToolbox_CNN_lzbV3.0/cnnbp.p
DeepLearnToolbox_CNN_lzbV3.0/cnnff.m
DeepLearnToolbox_CNN_lzbV3.0/cnninit.m
DeepLearnToolbox_CNN_lzbV3.0/cnntest.m
DeepLearnToolbox_CNN_lzbV3.0/cnntrain.m
DeepLearnToolbox_CNN_lzbV3.0/cnnupdate.m
DeepLearnToolbox_CNN_lzbV3.0/down.m
DeepLearnToolbox_CNN_lzbV3.0/dy.m
DeepLearnToolbox_CNN_lzbV3.0/fx.m
DeepLearnToolbox_CNN_lzbV3.0/normalize_lzb.m
DeepLearnToolbox_CNN_lzbV3.0/rot180.m
DeepLearnToolbox_CNN_lzbV3.0/up.m
DeepLearnToolbox_CNN_lzbV3.0/Main_CnnExample_RunThisFilePlease.m
DeepLearnToolbox_CNN_lzbV3.0/TrainTestSample.mat
DeepLearnToolbox_CNN_lzbV3.0/cnnbp.p
DeepLearnToolbox_CNN_lzbV3.0/cnnff.m
DeepLearnToolbox_CNN_lzbV3.0/cnninit.m
DeepLearnToolbox_CNN_lzbV3.0/cnntest.m
DeepLearnToolbox_CNN_lzbV3.0/cnntrain.m
DeepLearnToolbox_CNN_lzbV3.0/cnnupdate.m
DeepLearnToolbox_CNN_lzbV3.0/down.m
DeepLearnToolbox_CNN_lzbV3.0/dy.m
DeepLearnToolbox_CNN_lzbV3.0/fx.m
DeepLearnToolbox_CNN_lzbV3.0/normalize_lzb.m
DeepLearnToolbox_CNN_lzbV3.0/rot180.m
DeepLearnToolbox_CNN_lzbV3.0/up.m
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