%參考zouxy09的博客添加了zouxy09對CNN卷積神經(jīng)網(wǎng)絡(luò)代碼的注解，

function?net?=?cnnapplygrads（net?opts）
%cnnapplygrads?把計算出來的梯度加到原始模型上去
%完成權(quán)重修改，更新模型的功能?
%1更新特征抽取層的權(quán)重?weight+bias

%2?更新末尾單層感知機的權(quán)重weight+bias




????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）
???????????????????????%?這里沒什么好說的，就是普通的權(quán)值更新的公式：W_new?=?W_old?-?alpha?*?de/dW（誤差對權(quán)值導(dǎo)數(shù)）??
????????????????????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
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?????文件????????917??2015-10-09?21:11??CNN\cnnapplygrads.m

?????文件???????4339??2015-10-09?21:11??CNN\cnnbp.m

?????文件???????4053??2015-10-09?20:56??CNN\cnnff.asv

?????文件???????4421??2015-10-09?21:11??CNN\cnnff.m

?????文件???????3653??2015-10-09?21:11??CNN\cnnnumgradcheck.m

?????文件???????4592??2015-10-09?20:46??CNN\cnnsetup.asv

?????文件???????5442??2015-10-09?21:11??CNN\cnnsetup.m

?????文件????????488??2015-10-09?21:11??CNN\cnntest.m

?????文件???????1575??2015-10-09?20:51??CNN\cnntrain.asv

?????文件???????1942??2015-10-09?21:12??CNN\cnntrain.m

?????目錄??????????0??2015-10-09?20:56??CNN

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