代码搜索：Gradient
找到约 2,951 项符合「Gradient」的源代码
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www.eeworm.com/read/434208/7882450
html gradientpainttransformerdemo1.html
GradientPaintTransformerDemo1
A demo showing the gradient paint styles possible with
StandardGradientPaintTransformer.
www.eeworm.com/read/298929/7923111
java lmfunc.java
// LMfunc.java
package ZS.Solve;
/**
* Caller implement this interface to specify the
* function to be minimized and its gradient.
*
* Optionally return an initial guess and some test data,
*
www.eeworm.com/read/297947/7984489
m compute_grad.m
function [grad,gy] = compute_grad(M,options)
% compute_grad - compute the gradient of an image using central differences
%
% grad = compute_grad(M,options);
% [gx,gy] = compute_grad(M,options);
www.eeworm.com/read/398337/7993473
m gradlbfixed.m
function [grad] = gradlbfixed(Sigma,indsup,Alpsup,w0,C,Xapp,yapp,pow);
%GRADLBFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW
% GRAD = GRADLBFIXED(SIGMA,INDSUP,ALPSUP,W0,C,X
www.eeworm.com/read/398337/7993482
m gradlfixed.m
function [grad] = gradlfixed(Sigma,indsup,Alpsup,C,Xapp,yapp,pow);
%GRADLFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW
% GRAD = GRADLFIXED(SIGMA,INDSUP,ALPSUP,C,XAPP,YAPP,
www.eeworm.com/read/397967/8012496
m findenergy.m
function Emean=findEnergy(x)
% FINDENERGY creates an gradient img from a given RGB or grayscale image.
% The vertical and horizontal gradients are found using a Sobel operator
% and the gradient ma
www.eeworm.com/read/397967/8012508
m removalmap.m
function SeamVector=removalMap(X,lines);
% REMOVALMAP takes a given image and finds the ordered set of (vertical)
% seams that are removed from an image and returns them in an array, where
% the Nt
www.eeworm.com/read/196932/8040048
m bcmgrad.m
function g = bcmgrad(net, x, t)
% bcmgrad - Error gradient for Bayesian Committee Machine
%
% Synopsis:
% g = bcmgrad(net)
%
% Arguments:
% net: BCM structure
%
% Returns:
% g: Gradient of
www.eeworm.com/read/196825/8056074
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the
www.eeworm.com/read/195643/8136802
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the