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深度學習模型,CNN實現道路分類效果,這不是自創,
代碼片段和文件信息
function?dx?=?cnnderiv(tx)
%CNNDERIV?derivative?of?2D?CNN
%?takes?and?returns?current?state?as
%?a?column?vector.
%???????requires?global?variables?A?Bu?I?m?n?
?
global?A?Bu?I?m?n?
x?=?reshape(xmn);
dx?=?-x?+?conv2(pwlsig(x)A‘same‘)?+?Bu?+?I?;
dx?=?dx(:);
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????273??2007-11-14?20:41??CNN\cnnderiv.m
?????文件??????55806??2010-04-26?14:31??CNN\CNN_GUI.zip
?????文件???????7919??2008-03-17?11:42??CNN\gui_test.fig
?????文件??????25907??2008-03-17?11:42??CNN\gui_test.m
?????文件????????161??2007-11-03?23:22??CNN\pwlsig.m
?????文件?????????74??2008-03-20?23:14??CNN\Readme.txt
?????文件?????156834??2008-03-15?19:55??CNN\road.bmp
?????目錄??????????0??2015-07-02?20:29??CNN
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???????????????246974????????????????????8
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