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資源簡介

CNN——卷積神經網絡類數字識別matlab實現代碼,原因是現在而與Matlab c++ / CUDA庫前端比一個Matlab庫。這個項目提供了matlab類卷積神經網絡的實現。勒存這網絡是由Yann和已經成功地使用在許多實際應用,如手寫數字識別、人臉檢測、機器人導航等更多信息。由于卷積網絡的一些建筑的特性,如重量共享實現它是不現實的利用Matlab神經網絡工具箱沒有它的源代碼的修改。這就是為什么這類作品幾乎獨立于神經網絡工具箱(即將完全獨立這個版本包括示例使用CNN手寫數字的識別。如果你只是想試試cnet_tool運行。你會看到一個簡單的GUI。它加載pretrained cnet的卷積神經網絡。墊和識別數字的形象畫在繪畫領域或從MNIST下載數據庫。

資源截圖

代碼片段和文件信息

function?res?=?back_conv2(FMeKtype)
%back_conv2?back?convolution.?Function?can?be?used?in?two?cases?-?backpropagate?error??
%???for?lower?layers?and?calculate?gradient
%
%??Syntax
%??
%????res?=?back_conv2(FMeKtype)
%????
%??Description
%???Input:
%????FM?-?feature?map
%????e?-?error?map
%????K?-?shared?weights?(convolution?kernel)
%????type?-?type?of?operation?(gx?-?for?gradient?calculation?err?-?for?error?calculation)
%???Output:
%????res?-?result?of?computation
%
%(c)?Sirotenko?Mikhail?2009

switch(type)
????case?‘gx‘???%Calculate?gradient
??????????res?=?fastFilter2(eFM‘valid‘);?

????case?‘err‘?%Error?backpropagation
??????????res?=?conv2(eK‘full‘);
end

end
????

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????1316??2014-02-12?14:10??license.txt
?????目錄???????????0??2014-12-27?21:43??ver?0.83\
?????目錄???????????0??2014-12-27?21:43??ver?0.83\@cnn\
?????文件????????3853??2014-02-12?14:10??ver?0.83\@cnn\adapt_dw.m
?????文件????????5111??2014-02-12?14:10??ver?0.83\@cnn\calchx.m
?????文件????????5946??2014-02-12?14:10??ver?0.83\@cnn\calcje.m
?????文件?????????710??2014-02-12?14:10??ver?0.83\@cnn\calcMCR.m
?????文件????????2250??2014-02-12?14:10??ver?0.83\@cnn\check_finit_dif.m
?????文件????????7186??2014-02-12?14:10??ver?0.83\@cnn\cnn.m
?????文件?????????973??2014-02-12?14:10??ver?0.83\@cnn\cnn_size.m
?????文件????????7409??2014-02-12?14:10??ver?0.83\@cnn\cutrain.m
?????文件????????3873??2014-02-12?14:10??ver?0.83\@cnn\init.m
?????文件????????2967??2014-02-12?14:10??ver?0.83\@cnn\sim.m
?????文件????????8998??2014-02-12?14:10??ver?0.83\@cnn\subsasgn.m
?????文件????????1708??2014-02-12?14:10??ver?0.83\@cnn\subsref.m
?????文件????????6770??2014-02-12?14:10??ver?0.83\@cnn\train.m
?????文件?????????716??2014-02-12?14:10??ver?0.83\back_conv2.m
?????文件????????1054??2014-02-12?14:10??ver?0.83\back_subsample.m
?????文件????????1123??2014-02-12?14:10??ver?0.83\changelog.txt
?????文件????????1005??2014-02-12?14:10??ver?0.83\changelog.txt~
?????文件??????570755??2014-02-12?14:10??ver?0.83\cnet.mat
?????文件???????23102??2014-02-12?14:10??ver?0.83\cnet_tool.m
?????文件????????1005??2014-02-12?14:10??ver?0.83\cnn2singlestruct.m
?????文件????????9952??2014-02-12?14:10??ver?0.83\cnn_gui.fig
?????文件???????12131??2014-02-12?14:10??ver?0.83\cnn_gui.m
?????文件?????????712??2014-02-12?14:10??ver?0.83\cucalcMCR.m
?????文件????????5471??2014-02-12?14:10??ver?0.83\cutrain_cnn.m
?????文件?????????128??2014-02-12?14:10??ver?0.83\fastFilter2.m
?????文件????????1337??2014-02-12?14:10??ver?0.83\license.txt~
?????文件?????????819??2014-02-12?14:10??ver?0.83\mse.m
?????文件????????1112??2014-02-12?14:10??ver?0.83\preproc_data.m
............此處省略12個文件信息

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