cnn

代码说明：

说明：  使用matlab实现卷积神经网络（cnn）算法，比较简单易懂(Using matlab to implement convolutional neural network (cnn) algorithm)

文件列表：

code\cnnapplygrads.m, 651 , 2020-04-08
code\cnnbp.m, 2298 , 2020-04-08
code\cnnff.m, 1602 , 2020-04-08
code\cnnnumgradcheck.m, 3430 , 2014-05-11
code\cnnsetup.m, 2178 , 2014-09-30
code\cnntest.m, 253 , 2020-04-08
code\cnntrain.m, 963 , 2020-04-08
code\mnist_uint8.mat, 14735220 , 2014-06-26
code\run_cnn_example.m, 1352 , 2020-04-08
code\util\allcomb.m, 2618 , 2014-06-26
code\util\expand.m, 1958 , 2014-06-26
code\util\flicker.m, 208 , 2014-06-26
code\util\flipall.m, 80 , 2014-06-26
code\util\fliplrf.m, 543 , 2014-06-26
code\util\flipudf.m, 576 , 2014-06-26
code\util\im2patches.m, 313 , 2014-06-26
code\util\isOctave.m, 108 , 2014-06-26
code\util\makeLMfilters.m, 1895 , 2014-06-26
code\util\myOctaveVersion.m, 169 , 2014-06-26
code\util\normalize.m, 97 , 2014-06-26
code\util\patches2im.m, 242 , 2014-06-26
code\util\randcorr.m, 283 , 2014-06-26
code\util\randp.m, 2083 , 2014-06-26
code\util\rnd.m, 49 , 2014-06-26
code\util\sigm.m, 48 , 2014-06-26
code\util\sigmrnd.m, 126 , 2014-06-26
code\util\softmax.m, 256 , 2014-06-26
code\util\tanh_opt.m, 54 , 2014-06-26
code\util\visualize.m, 1072 , 2014-06-26
code\util\whiten.m, 183 , 2014-06-26
code\util\zscore.m, 137 , 2014-06-26
code\util, 0 , 2020-02-16
code, 0 , 2020-04-08