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資源簡介

深度學習的卷積神經網絡的MATLAB代碼實現,數據為MNIST標準庫。

資源截圖

代碼片段和文件信息

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??2013-11-05?13:59??CNN\cnnapplygrads.m

?????文件???????2140??2013-11-05?13:59??CNN\cnnbp.m

?????文件???????1774??2013-11-05?13:59??CNN\cnnff.m

?????文件???????3620??2013-11-06?09:07??CNN\cnnnumgradcheck.m

?????文件???????1765??2013-11-05?13:59??CNN\cnnsetup.m

?????文件????????193??2013-11-05?13:59??CNN\cnntest.m

?????文件????????898??2013-11-06?08:58??CNN\cnntrain.m

?????文件?????347555??2016-04-19?09:18??CNN\CNN代碼的理解.docx

?????文件???????1290??2013-11-05?15:54??CNN\ex.m

?????文件???????1958??2013-11-05?13:59??CNN\expand.m

?????文件?????????80??2013-11-05?13:59??CNN\flipall.m

?????文件???14735220??2013-11-05?13:59??CNN\mnist_uint8.mat

?????文件?????????48??2013-11-05?13:59??CNN\sigm.m

?????文件????????979??2016-04-18?15:53??CNN\test_example_CNN.asv

?????文件????????979??2016-04-18?15:53??CNN\test_example_CNN.m

?????文件???????2618??2013-11-05?13:59??CNN\util\allcomb.m

?????文件????????208??2013-11-05?13:59??CNN\util\flicker.m

?????文件????????543??2013-11-05?13:59??CNN\util\fliplrf.m

?????文件????????576??2013-11-05?13:59??CNN\util\flipudf.m

?????文件????????313??2013-11-05?13:59??CNN\util\im2patches.m

?????文件???????1895??2013-11-05?13:59??CNN\util\makeLMfilters.m

?????文件?????????97??2013-11-05?13:59??CNN\util\normalize.m

?????文件????????242??2013-11-05?13:59??CNN\util\patches2im.m

?????文件????????283??2013-11-05?13:59??CNN\util\randcorr.m

?????文件???????2083??2013-11-05?13:59??CNN\util\randp.m

?????文件?????????49??2013-11-05?13:59??CNN\util\rnd.m

?????文件????????126??2013-11-05?13:59??CNN\util\sigmrnd.m

?????文件????????256??2013-11-05?13:59??CNN\util\softmax.m

?????文件?????????54??2013-11-05?13:59??CNN\util\tanh_opt.m

?????文件???????1072??2013-11-05?13:59??CNN\util\visualize.m

............此處省略8個文件信息

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