Different from the traditional image recognition, one-dimensional data into the cnn network to identify

CNN-123\allcomb.m
CNN-123\cnnapplygrads.m
CNN-123\cnnbp.m
CNN-123\cnnff.m
CNN-123\cnnnumgradcheck.m
CNN-123\cnnsetup.m
CNN-123\cnntest.m
CNN-123\cnntrain.asv
CNN-123\cnntrain.m
CNN-123\countvalue.m
CNN-123\expand.m
CNN-123\flicker.m
CNN-123\flipall.m
CNN-123\fliplrf.m
CNN-123\flipudf.m
CNN-123\im2patches.m
CNN-123\input-1.m
CNN-123\isOctave.m
CNN-123\makeLMfilters.m
CNN-123\mnist_uint8.mat
CNN-123\myOctaveVersion.m
CNN-123\normalize.m
CNN-123\patches2im.m
CNN-123\randcorr.m
CNN-123\randp.m
CNN-123\REFS.md
CNN-123\rnd.m
CNN-123\sigm.m
CNN-123\sigmrnd.m
CNN-123\softmax.m
CNN-123\tanh_opt.m
CNN-123\test_example_CNN.m
CNN-123\visualize.m
CNN-123\whiten.m
CNN-123\zscore.m
CNN-123

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