代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

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m contents.m

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern
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m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET % to
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glsl_quoted conical.glsl_quoted

// Generated by src/opengl/util/./glsl_to_include.sh from conical.glsl "// conical gradient shader\n" "#define M_PI 3.14159265358979323846\n" "uniform sampler1D palette;\n" "uniform float angle;\n" "
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m contents.m

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern
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m contents.m

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern
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www.eeworm.com/read/369958/2788107

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
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www.eeworm.com/read/359369/2978449

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET
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www.eeworm.com/read/170936/9779245

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET % to
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www.eeworm.com/read/415313/11076502

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET % to
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www.eeworm.com/read/414357/11119003

asv nnd12ls.asv

function nnd12ls(cmd,arg1) %NND12LS Conjugate gradient lines search demonstration. % % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and T
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