Convolutional neural network algorithm

license.txt
mycnn
.....\CNN
.....\...\@cnn
.....\...\....\adapt_dw.m
.....\...\....\calchx.m
.....\...\....\calcje.m
.....\...\....\calcMCR.m
.....\...\....\check_finit_dif.m
.....\...\....\cnn.m
.....\...\....\cnn_size.m
.....\...\....\cutrain.m
.....\...\....\init.m
.....\...\....\rbm.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
.....\...\preproc_data.m
.....\...\preproc_image.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
.....\...\ver 0.8.zip
.....\license.txt
ver 0.8
.......\@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
.......\preproc_data.m
.......\preproc_image.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
.......\ver 0.8.zip

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