CNNmatlab

代码说明：

  这里是cnn卷积神经网络手写识别的一个MATLAB代码，其中的cnet_tool.m是一个demo,识别正确率大约为0.5.(cnn convolution neural network for handwriting recognition, cnet_tool is a demo)

文件列表：

CNN_matlab代码备份
..................\license.txt,1337,2012-10-25
..................\ver 0.83
..................\........\@cnn
..................\........\....\adapt_dw.m,3853,2009-04-25
..................\........\....\calchx.m,5111,2009-05-29
..................\........\....\calcje.m,5946,2012-09-19
..................\........\....\calcMCR.m,710,2009-12-31
..................\........\....\check_finit_dif.m,2250,2009-05-06
..................\........\....\cnn.m,7186,2010-02-08
..................\........\....\cnn_size.m,973,2009-03-28
..................\........\....\cutrain.m,7409,2010-02-09
..................\........\....\init.m,3873,2009-05-29
..................\........\....\sim.m,2967,2009-05-29
..................\........\....\subsasgn.m,8998,2009-12-31
..................\........\....\subsref.m,1708,2009-03-28
..................\........\....\train.m,6770,2010-02-08
..................\........\back_conv2.m,716,2009-05-29
..................\........\back_subsample.m,1054,2010-01-20
..................\........\changelog.txt,1123,2012-10-23
..................\........\changelog.txt~,1005,2012-09-19
..................\........\cnet.mat,570755,2010-02-08
..................\........\cnet_tool.m,23102,2012-09-19
..................\........\cnn2singlestruct.m,1005,2009-11-05
..................\........\cnn_gui.fig,9952,2010-01-05
..................\........\cnn_gui.m,12131,2010-01-05
..................\........\cucalcMCR.m,712,2010-01-20
..................\........\cutrain_cnn.m,5471,2010-02-03
..................\........\fastFilter2.m,128,2009-05-28
..................\........\license.txt,1337,2012-10-23
..................\........\license.txt~,1337,2011-04-11
..................\........\MNIST
..................\........\.....\t10k-images.idx3-ubyte,7840016,1998-01-26
..................\........\.....\t10k-labels.idx1-ubyte,10008,1998-01-26
..................\........\.....\train-images.idx3-ubyte,47040016,1996-11-18
..................\........\.....\train-labels.idx1-ubyte,60008,1996-11-18
..................\........\mse.m,819,2012-09-19
..................\........\preproc_data.m,1112,2012-09-19
..................\........\preproc_image.m,412,2009-06-01
..................\........\purelin.m,774,2012-09-19
..................\........\rand_std.m,972,2009-05-28
..................\........\readme.txt,3500,2010-02-08
..................\........\readMNIST.m,3226,2012-10-23
..................\........\readMNIST_image.m,935,2009-05-29
..................\........\rot180.m,57,2009-03-28
..................\........\singlestruct2cnn.m,1072,2010-01-27
..................\........\subsample.m,1197,2012-09-27
..................\........\tansig_mod.m,985,2012-09-18
..................\........\test_dgt.m,433,2010-02-08
..................\........\train_cnn.m,5473,2012-06-06