Title:
DeepLearnToolbox_CNN_lzbV2.0
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Description: 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
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File list (Check if you may need any files):
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
