📄 netgrad.m
字号:
function g = netgrad(w, net, x, t)
%NETGRAD Evaluate network error gradient for generic optimizers
%
% Description
%
% G = NETGRAD(W, NET, X, T) takes a weight vector W and a network data
% structure NET, together with the matrix X of input vectors and the
% matrix T of target vectors, and returns the gradient of the error
% function evaluated at W.
%
% See also
% MLP, NETERR, NETOPT
%
% Copyright (c) Ian T Nabney (1996-2001)
gradstr = [net.type, 'grad'];
net = netunpak(net, w);
g = feval(gradstr, net, x, t);
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -