function?checkgrads（netxy）
epsilon?=?1e-4;
er??????=?1e-8;
n?=?numel（net.layers）;
for?l?=?n?:?-1?:?2
????if?strcmp（net.layers{l}.type‘Soft‘）
????????for?j?=?1?:?numel（net.layers{l}.b）
????????????net_m?=?net;?net_p?=?net;
????????????net_p.layers{l}.b（j）?=?net_m.layers{l}.b（j）?+?epsilon;
????????????net_m.layers{l}.b（j）?=?net_m.layers{l}.b（j）?-?epsilon;
????????????net_m?=?cnnff（net_mx）;net_m?=?cnnbp（net_my）;
????????????net_p?=?cnnff（net_px）;net_p?=?cnnbp（net_py）;
????????????d?=?（net_p.L?-?net_m.L）?/?（2?*?epsilon）;
????????????e?=?abs（d?-?net.layers{l}.db（j））;
????????????if?e?>?er
????????????????error（‘numrical?graddient?checking?failed?at?softb‘）;
????????????end
????????end
????????
????????for?i?=?1?:?size（net.layers{l}.w1）
????????????for?j?=?1?:?size（net.layers{l}.w2）
????????????????net_m?=?net;?net_p?=?net;
????????????????net_p.layers{l}.w（ij）?=?net_p.layers{l}.w（ij）?+?epsilon;
????????????????net_m.layers{l}.w（ij）?=?net_m.layers{l}.w（ij）?-?epsilon;
????????????????net_m?=?cnnff（net_mx）;?net_m?=?cnnbp（net_my）;
????????????????net_p?=?cnnff（net_px）;?net_p?=?cnnbp（net_py）;
????????????????d?=?（net_p.L?-?net_m.L）/（2*epsilon）;
????????????????e?=?abs（d?-?net.layers{l}.dw（ij））;
????????????????if?e?>?er
????????????????????error（‘numrical?graddient?checking?faild?at?softw‘）;
????????????????end
????????????end
????????end
????end
????
????if?strcmp（net.layers{l}.type‘F6‘）
????????for?j?=?1?:?size（net.layers{l}.b1）
????????????net_m?=?net;net_p?=?net;
????????????net_p.layers{l}.b（j）?=?net_p.layers{l}.b（j）?+?epsilon;
????????????net_m.layers{l}.b（j）?=?net_m.layers{l}.b（j）?-?epsilon;
????????????net_p?=?cnnff（net_px）;?net_p?=?cnnbp（net_py）;
????????????net_m?=?cnnff（net_mx）;?net_m?=?cnnbp（net_my）;
????????????%db?=?net.layers{l}.db（j）;
????????????d?=?（net_p.L?-?net_m.L）?/?（2?*?epsilon）;
????????????e?=?abs（d?-?net.layers{l}.db（j））;
????????????if?e?>?er
????????????????error（‘numrical?graddient?checking?failed?at?F6b‘）;
????????????end
????????end
????????for?i?=?1?:?size（net.layers{l}.w1）
????????????for?j?=?1?:?size（net.layers{l}.w2）
????????????????net_m?=?net;net_p?=?net;
????????????????net_p.layers{l}.w（ij）?=?net_p.layers{l}.w（ij）?+?epsilon;
????????????????net_m.layers{l}.w（ij）?=?net_m.layers{l}.w（ij）?-?epsilon;
????????????????net_p?=?cnnff（net_px）;net_p?=cnnbp（net_py）;
????????????????net_m?=?cnnff（net_mx）;net_m?=?cnnbp（net_my）;
????????????????d?=?（net_p.L?-?net_m.L）?/?（2?*?epsilon）;
????????????????e?=?abs（d?-?net.layers{l}.dw（ij））;
????????????????if?e?>?er
????????????????????error（‘numrical?gradient?checking?failed?at?F6w‘）;
????????????????end
????????????end
????????end
????end
????
????if?strcmp（net.layers{l}.type‘C5‘）
????????for?i?=?1?:?size（net.layers{l}.w1）
????????????for?j?=?1?:?size（net.layers{l}.w2）
????????????????net_m?=?net;net_p?=?net;
????????????????net_p.layers{l}.w（ij）?=?net_p.layers{l}.w（ij）?+?epsilo

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????7089??2015-01-15?09:38??Lenet\checkgrads.m

?????文件????????858??2015-01-13?16:08??Lenet\cnnapplyGrads.m

?????文件???????3248??2015-01-15?10:51??Lenet\cnnbp.m

?????文件???????2475??2015-01-15?11:03??Lenet\cnnff.m

?????文件????????823??2015-01-15?09:37??Lenet\cnnTrain.m

?????文件???????1958??2015-01-13?09:37??Lenet\expand.m

?????文件?????????80??2015-01-13?15:01??Lenet\flipall.m

?????文件???????2595??2015-01-13?14:46??Lenet\initialParameters.m

?????文件????????811??2013-09-25?15:14??Lenet\loadMNISTImages.m

?????文件????????516??2013-09-25?15:14??Lenet\loadMNISTLabels.m

?????文件?????????60??2015-01-13?14:25??Lenet\sigm.m

?????文件????7840016??2015-01-14?22:14??Lenet\t10k-images.idx3-ubyte

?????文件??????10008??2015-01-14?22:14??Lenet\t10k-labels.idx1-ubyte

?????文件???47040016??1996-11-18?23:36??Lenet\train-images.idx3-ubyte

?????文件??????60008??1996-11-18?23:36??Lenet\train-labels.idx1-ubyte

?????文件???????1295??2015-01-15?13:04??Lenet\trainLenet.m

?????目錄??????????0??2015-01-14?22:24??Lenet

-----------?---------??----------?-----??----

?????????????54971856????????????????????17