This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You ll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognizes image of digit either painted in painting area or downloaded from MNIST database.

__MACOSX
........\ver 0.82
........\........\@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
........\........\._@cnn
........\........\._back_conv2.m
........\........\._back_subsample.m
........\........\._changelog.txt
........\........\._cnet.mat
........\........\._cnet_tool.m
........\........\._cnn2singlestruct.m
........\........\._cnn_gui.fig
........\........\._cnn_gui.m
........\........\._cucalcMCR.m
........\........\._cutrain_cnn.m
........\........\._fastFilter2.m
........\........\._license.txt
........\........\._mse.m
........\........\._preproc_data.m
........\........\._preproc_image.m
........\........\._purelin.m
........\........\._rand_std.m
........\........\._readme.txt
........\........\._readMNIST.m
........\........\._readMNIST_image.m
........\........\._rot180.m
........\........\._singlestruct2cnn.m
........\........\._tansig_mod.m
........\........\._test_dgt.m
........\........\._train_cnn.m
........\._ver 0.82
license.txt
ver 0.82
........\@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
........\cnet.mat
........\cnet_tool.m
........\cnn2singlestruct.m
........\cnn_gui.fig
........\cnn_gui.m
........\cucalcMCR.m
........\cutrain_cnn.m
........\fastFilter2.m
........\license.txt
........\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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