代码搜索：Gradient
找到约 2,951 项符合「Gradient」的源代码
代码结果 2,951
www.eeworm.com/read/152310/12122628
m nnd12cg.m
function nnd12cg(cmd,arg1)
%NND12CG Conjugate gradient backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==================
www.eeworm.com/read/151851/12168730
m nnd12cg.m
function nnd12cg(cmd,arg1)
%NND12CG Conjugate gradient backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==================
www.eeworm.com/read/336314/12451550
m nnd12cg.m
function nnd12cg(cmd,arg1)
%NND12CG Conjugate gradient backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==================
www.eeworm.com/read/130698/14177593
m nnd12cg.m
function nnd12cg(cmd,arg1)
%NND12CG Conjugate gradient backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==================
www.eeworm.com/read/122236/14712443
m nnd12cg.m
function nnd12cg(cmd,arg1)
%NND12CG Conjugate gradient backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==================
www.eeworm.com/read/121258/14762602
htm graded_caption.shtml.htm
Miscellaneous - Gradient color caption bar
www.eeworm.com/read/119491/14828071
css forum_admin.css
body {
filter : progid:DXImageTransform.Microsoft.gradient(GradientType:1 ,startColorStr=#10234B,endColorStr=#183789);
font: tahoma,verdana,arial,helvetica,sans-serif;
background:#10234B; font-si
www.eeworm.com/read/117862/14900311
css forum_admin.css
body {
filter : progid:DXImageTransform.Microsoft.gradient(GradientType:1 ,startColorStr=#10234B,endColorStr=#183789);
font: tahoma,verdana,arial,helvetica,sans-serif;
background:#10234B; font-si
www.eeworm.com/read/215983/15031279
m nnd12cg.m
function nnd12cg(cmd,arg1)
%NND12CG Conjugate gradient backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==================
www.eeworm.com/read/13871/284567
m mlpbkp.m
function g = mlpbkp(net, x, z, deltas)
%MLPBKP Backpropagate gradient of error function for 2-layer network.
%
% Description
% G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET
% t