CNN_matlab代码

代码说明：

  利用CNN进行手写字体识别Handwritten Character Recognition(Handwritten Character Recognition)

文件列表：

CNN_matlab代码\allcomb.m, 2618 , 2015-12-01
CNN_matlab代码\cnnapplygrads.m, 575 , 2015-12-01
CNN_matlab代码\cnnbp.m, 2141 , 2015-12-01
CNN_matlab代码\cnnff.m, 1774 , 2015-12-01
CNN_matlab代码\cnnnumgradcheck.m, 3430 , 2015-12-01
CNN_matlab代码\cnnsetup.m, 2020 , 2019-03-14
CNN_matlab代码\cnntest.m, 193 , 2015-12-01
CNN_matlab代码\cnntrain.m, 845 , 2015-12-01
CNN_matlab代码\expand.m, 1958 , 2015-12-01
CNN_matlab代码\flicker.m, 208 , 2015-12-01
CNN_matlab代码\flipall.m, 80 , 2015-12-01
CNN_matlab代码\fliplrf.m, 543 , 2015-12-01
CNN_matlab代码\flipudf.m, 576 , 2015-12-01
CNN_matlab代码\im2patches.m, 313 , 2015-12-01
CNN_matlab代码\isOctave.m, 108 , 2015-12-01
CNN_matlab代码\makeLMfilters.m, 1895 , 2015-12-01
CNN_matlab代码\mnist_uint8.mat, 14735220 , 2015-12-01
CNN_matlab代码\myOctaveVersion.m, 169 , 2015-12-01
CNN_matlab代码\normalize.m, 97 , 2015-12-01
CNN_matlab代码\patches2im.m, 242 , 2015-12-01
CNN_matlab代码\randcorr.m, 283 , 2015-12-01
CNN_matlab代码\randp.m, 2083 , 2015-12-01
CNN_matlab代码\rnd.m, 49 , 2015-12-01
CNN_matlab代码\sigm.m, 48 , 2015-12-01
CNN_matlab代码\sigmrnd.m, 126 , 2015-12-01
CNN_matlab代码\softmax.m, 256 , 2015-12-01
CNN_matlab代码\tanh_opt.m, 54 , 2015-12-01
CNN_matlab代码\test_cnn_gradients_are_numerically_correct.m, 552 , 2015-12-01
CNN_matlab代码\test_example_CNN.m, 983 , 2019-03-14
CNN_matlab代码\visualize.m, 1072 , 2015-12-01
CNN_matlab代码\whiten.m, 183 , 2015-12-01
CNN_matlab代码\zscore.m, 137 , 2015-12-01
CNN_matlab代码, 0 , 2019-03-15