Description: Is matlab code on cnn yann Lecun prototype made in 1989, this code successfully applied to handwriting recognition check many European countries
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CNN_matlab代码
..............\license.txt
..............\ver 0.83
..............\........\@cnn
..............\........\....\adapt_dw.m
..............\........\....\calchx.m
..............\........\....\calcje.m
..............\........\....\calcMCR.m
..............\........\....\check_finit_dif.m
..............\........\....\cnn.m
..............\........\....\cnn_size.m
..............\........\....\cutrain.m
..............\........\....\init.m
..............\........\....\sim.m
..............\........\....\subsasgn.m
..............\........\....\subsref.m
..............\........\....\train.m
..............\........\back_conv2.m
..............\........\back_subsample.m
..............\........\changelog.txt
..............\........\changelog.txt~
..............\........\cnet.mat
..............\........\cnet_tool.m
..............\........\cnn2singlestruct.m
..............\........\cnn_gui.fig
..............\........\cnn_gui.m
..............\........\cucalcMCR.m
..............\........\cutrain_cnn.m
..............\........\fastFilter2.m
..............\........\license.txt
..............\........\license.txt~
..............\........\MNIST
..............\........\.....\t10k-images.idx3-ubyte
..............\........\.....\t10k-labels.idx1-ubyte
..............\........\.....\train-images.idx3-ubyte
..............\........\.....\train-labels.idx1-ubyte
..............\........\mse.m
..............\........\preproc_data.m
..............\........\preproc_image.m
..............\........\purelin.m
..............\........\rand_std.m
..............\........\readme.txt
..............\........\readMNIST.m
..............\........\readMNIST_image.m
..............\........\rot180.m
..............\........\singlestruct2cnn.m
..............\........\subsample.m
..............\........\tansig_mod.m
..............\........\test_dgt.m
..............\........\train_cnn.m
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