function?net?=?cnnapplygrads（net?opts）
????for?l?=?2?:?numel（net.layers）
????????if?strcmp（net.layers{l}.type?‘c‘）
????????????for?j?=?1?:?numel（net.layers{l}.a）
????????????????for?ii?=?1?:?numel（net.layers{l?-?1}.a）
????????????????????net.layers{l}.k{ii}{j}?=?net.layers{l}.k{ii}{j}?-?opts.alpha?*?net.layers{l}.dk{ii}{j};
????????????????end
????????????????net.layers{l}.b{j}?=?net.layers{l}.b{j}?-?opts.alpha?*?net.layers{l}.db{j};
????????????end
????????end
????end

????net.ffW?=?net.ffW?-?opts.alpha?*?net.dffW;
????net.ffb?=?net.ffb?-?opts.alpha?*?net.dffb;
end

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件?????????575??2017-04-20?16:23??cnnapplygrads.m
?????文件????????2141??2017-04-20?16:24??cnnbp.m
?????文件????????1774??2017-04-20?16:24??cnnff.m
?????文件????????1768??2017-04-20?16:24??cnnsetup.m
?????文件?????????193??2017-04-20?16:24??cnntest.m
?????文件?????????845??2017-04-20?16:24??cnntrain.m
?????文件?????????981??2017-04-20?16:24??test_example_CNN.m