文件名称:DeepLearnToolbox_CNN_lzbV2.0
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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
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
(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_lzbV2.0
............................\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