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  • 大小: 53.47MB
    文件類型: .rar
    金幣: 2
    下載: 1 次
    發布日期: 2022-11-04
  • 語言: 其他
  • 標簽: CNN??

資源簡介

完整的CNN卷積神經網絡,可用于圖像等領域,有很好的指導。

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)??
????????????????????%?這里沒什么好說的,就是普通的權值更新的公式:W_new?=?W_old?-?alpha?*?de/dW(誤差對權值導數)??
????????????????????net.layers{l}.k{ii}{j}?=?net.layers{l}.k{ii}{j}?-?opts.alpha?*?net.layers{l}.dk{ii}{j};??
????????????????end??
????????????end??
????????????net.layers{l}.b{j}?=?net.layers{l}.b{j}?-?opts.alpha?*?net.layers{l}.db{j};??
????????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????????731??2016-10-01?05:31??deep?learning\cnnapplygrads.m

?????文件???????3851??2016-10-01?05:30??deep?learning\cnnbp.m

?????文件???????1774??2016-10-01?11:23??deep?learning\cnnff.m

?????文件???????3590??2016-10-01?05:34??deep?learning\cnnnumgradcheck.m

?????文件???????5235??2016-10-01?05:29??deep?learning\cnnsetup.m

?????文件????????435??2016-10-01?05:31??deep?learning\cnntest.m

?????文件???????1850??2016-10-01?13:20??deep?learning\cnntrain.m

?????文件???????1620??2017-04-20?03:15??deep?learning\Example119.m

?????文件???????1958??2016-10-01?08:24??deep?learning\expand.m

?????文件?????????80??2016-10-01?08:24??deep?learning\flipall.m

?????文件???13337300??2015-05-26?06:29??deep?learning\mnist_all.mat

?????文件???14735220??2016-10-01?08:24??deep?learning\mnist_uint8.mat

?????文件????????435??2011-04-11?00:04??deep?learning\New?Folder\classification_evaluate.m

?????文件????????731??2016-10-01?05:31??deep?learning\New?Folder\cnnapplygrads.m

?????文件????????838??2016-10-04?01:09??deep?learning\New?Folder\cnnapplygrads119.m

?????文件???????3851??2016-10-01?05:30??deep?learning\New?Folder\cnnbp.m

?????文件???????3889??2016-10-04?01:14??deep?learning\New?Folder\cnnbp119.m

?????文件???????1774??2016-10-01?11:23??deep?learning\New?Folder\cnnff.m

?????文件???????1845??2016-10-04?01:09??deep?learning\New?Folder\cnnff119.m

?????文件???????3590??2016-10-01?05:34??deep?learning\New?Folder\cnnnumgradcheck.m

?????文件???????5235??2016-10-01?05:29??deep?learning\New?Folder\cnnsetup.m

?????文件???????5704??2016-10-05?07:07??deep?learning\New?Folder\cnnsetup119.m

?????文件????????437??2016-10-04?00:40??deep?learning\New?Folder\cnntest.m

?????文件????????405??2016-10-04?00:46??deep?learning\New?Folder\cnntest119.m

?????文件???????1850??2016-10-01?13:20??deep?learning\New?Folder\cnntrain.m

?????文件???????2030??2016-10-04?01:08??deep?learning\New?Folder\cnntrain119.m

?????文件???????1821??2017-05-30?00:12??deep?learning\New?Folder\Example119.m

?????文件???????1958??2016-10-01?08:24??deep?learning\New?Folder\expand.m

?????文件?????????80??2016-10-01?08:24??deep?learning\New?Folder\flipall.m

?????文件???13337300??2015-05-26?06:29??deep?learning\New?Folder\mnist_all.mat

............此處省略11個文件信息

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