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/162075/10341972
m gpgrad.m
function g = gpgrad(net, x, t)
%GPGRAD Evaluate error gradient for Gaussian Process.
%
% Description
% G = GPGRAD(NET, X, T) takes a Gaussian Process data structure NET
% together with a matrix X of
www.eeworm.com/read/353896/10406949
m definev.m
function [v,dv]= definev(g,x,l,u);
%DEFINEV Scaling vector and derivative
%
% [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the
% bounds corresponding to the sign of the gradient g, where
%
www.eeworm.com/read/273093/10927498
m definev.m
function [v,dv]= definev(g,x,l,u);
%DEFINEV Scaling vector and derivative
%
% [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the
% bounds corresponding to the sign of the gradient g, where
%
www.eeworm.com/read/379352/6957849
m mydetgmc.m
function [m,theta] = mydetGMc(im,sigma,nbins)
% function [m,theta] = mydetGM(im,sigma,nbins)
%
% Compute image gradient magnitude.
%
% INPUT
% im Image.
% sigma Scale at which to compute image
www.eeworm.com/read/469416/6976422
m olgd.m
function [net, options, errlog, pointlog] = olgd(net, options, x, t)
%OLGD On-line gradient descent optimization.
%
% Description
% [NET, OPTIONS, ERRLOG, POINTLOG] = OLGD(NET, OPTIONS, X, T) uses
www.eeworm.com/read/172061/7074788
m definev.m
function [v,dv]= definev(g,x,l,u);
%DEFINEV Scaling vector and derivative
%
% [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the
% bounds corresponding to the sign of the gradient g, where
%
www.eeworm.com/read/458392/7297143
m gradwfixed.m
function [grad] = gradwfixed(Sigma,indsup,Alpsup,C,Xapp,yapp,Sigmaold,pow);
%GRADWFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW
% GRAD = GRADWFIXED(SIGMA,INDSUP,ALPSUP,C,X
www.eeworm.com/read/197958/7960644
m definev.m
function [v,dv]= definev(g,x,l,u);
%DEFINEV Scaling vector and derivative
%
% [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the
% bounds corresponding to the sign of the gradient g, where
%
www.eeworm.com/read/398337/7993489
m gradwfixed.m
function [grad] = gradwfixed(Sigma,indsup,Alpsup,C,Xapp,yapp,Sigmaold,pow);
%GRADWFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW
% GRAD = GRADWFIXED(SIGMA,INDSUP,ALPSUP,C,X
www.eeworm.com/read/196814/8058676
m definev.m
function [v,dv]= definev(g,x,l,u);
%DEFINEV Scaling vector and derivative
%
% [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the
% bounds corresponding to the sign of the gradient g, where
%