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/273533/10912526
cc shape.cc
/////////////////////////////////////////////////////////////
// Flash Plugin and Player
// Copyright (C) 1998,1999 Olivier Debon
//
// This program is free software; you can redistribute it and/or
/
www.eeworm.com/read/418342/10952767
m colorgrad.m
function [VG, A, PPG]= colorgrad(f, T)
%COLORGRAD Computes the vector gradient of an RGB image.
% [VG, VA, PPG] = COLORGRAD(F, T) computes the vector gradient, VG,
% and corresponding angle arr
www.eeworm.com/read/418163/10962521
m evolution.m
function u = EVOLUTION(u0, g, lambda, mu, alf, epsilon, delt, numIter)
% EVOLUTION(u0, g, lambda, mu, alf, epsilon, delt, numIter) updates the level set function
% according to the level set evol
www.eeworm.com/read/416425/11029739
m lse_lbf.m
function u = LSE_LBF(u0,Img,Ksigma,KI,KONE,nu,timestep,mu,lambda1,lambda2,epsilon,numIter)
% LSE_LBF implements the level set evolution (LSE) for the method in Chunming Li et al's paper:
% "Mi
www.eeworm.com/read/469416/6976349
m netgrad.m
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
% stru
www.eeworm.com/read/469416/6976385
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
www.eeworm.com/read/469416/6976402
m scg.m
function [x, options, flog, pointlog, scalelog] = scg(f, x, options, gradf, varargin)
%SCG Scaled conjugate gradient optimization.
%
% Description
% [X, OPTIONS] = SCG(F, X, OPTIONS, GRADF) uses a
www.eeworm.com/read/469416/6976462
m glmgrad.m
function [g, gdata, gprior] = glmgrad(net, x, t)
%GLMGRAD Evaluate gradient of error function for generalized linear model.
%
% Description
% G = GLMGRAD(NET, X, T) takes a generalized linear mode
www.eeworm.com/read/469416/6976502
m mlpgrad.m
function [g, gdata, gprior] = mlpgrad(net, x, t)
%MLPGRAD Evaluate gradient of error function for 2-layer network.
%
% Description
% G = MLPGRAD(NET, X, T) takes a network data structure NET toge
www.eeworm.com/read/466801/7020885
m colorgrad.m
function [VG, A, PPG]= colorgrad(f, T)
%COLORGRAD Computes the vector gradient of an RGB image.
% [VG, VA, PPG] = COLORGRAD(F, T) computes the vector gradient, VG,
% and corresponding angle arr