代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

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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
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www.eeworm.com/read/437142/7754379

m 6-45.m

F(:,:,1) = magic(3); F(:,:,2) = pascal(3); [PX,PY,PZ] = gradient(F,0.2,0.1,0.2)
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www.eeworm.com/read/247181/12675822

m gradmat.m

function G = Gradmat(mesh) % Computes the topological gradient matrix of the mesh % % mesh -> Data structure for 2D unstructured mesh % % the gradient matrix is the incidence matrix of oriented edges
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www.eeworm.com/read/143706/12849544

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 % structure
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www.eeworm.com/read/143706/12849686

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 % togeth
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www.eeworm.com/read/143706/12849743

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 sca
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www.eeworm.com/read/143706/12849902

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 model da
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www.eeworm.com/read/143706/12849995

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 together
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www.eeworm.com/read/243948/12906077

cc shape.cc

///////////////////////////////////////////////////////////// // Flash Plugin and Player // Copyright (C) 1998,1999 Olivier Debon // // This program is free software; you can redistribute it and/or /
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www.eeworm.com/read/329960/12924195

h discrime.h

/******************************************************************************* * * This file is part of the General Hidden Markov Model Library, * GHMM version 0.8_beta1, see http://ghmm
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