function?net?=?cnnapplygrads（net?opts）%使用網(wǎng)格？
????for?l?=?2?:?numel（net.layers）%從第二層開始
????????if?strcmp（net.layers{l}.type?‘c‘）%對(duì)于每個(gè)卷積層
????????????for?j?=?1?:?numel（net.layers{l}.a）%枚舉該層的每個(gè)輸出
????????????????for?ii?=?1?:?numel（net.layers{l?-?1}.a）%枚舉上層的每個(gè)輸入
????????????????????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(shí)間???名稱
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?????文件????????652??2014-10-09?17:29??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\cnnapplygrads.m

?????文件???????3531??2014-10-09?17:29??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\cnnbp.m

?????文件???????2790??2014-10-09?17:29??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\cnnff.m

?????文件???????3430??2014-10-09?17:29??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\cnnnumgradcheck.m

?????文件???????3381??2014-10-09?17:29??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\cnnsetup.m

?????文件????????227??2014-10-09?17:29??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\cnntest.m

?????文件???????1478??2014-10-09?17:29??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\cnntrain.m

?????文件???????1958??2014-10-09?17:45??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\expand.m

?????文件?????????80??2014-10-09?17:47??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\flipall.m

?????文件????????108??2014-10-09?17:34??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\isOctave.m

?????文件???14735220??2014-10-09?17:29??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\mnist_uint8.mat

?????文件????????169??2014-10-09?17:35??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\myOctaveVersion.m

?????文件?????????48??2014-10-09?17:36??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\sigm.m

?????文件???????1100??2015-03-26?22:35??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版\test_example_CNN.m

?????目錄??????????0??2015-03-14?21:43??matlab卷積神經(jīng)網(wǎng)絡(luò)cnn代碼-綠色版

?????文件???29469251??2019-12-27?20:55??117143160DeepLearnToolbox-master.rar

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?????????????44223423????????????????????16