代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

代码结果 2,951
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www.eeworm.com/read/147529/5728874

m nlconst.m

function [x,FVAL,lambda_out,EXITFLAG,OUTPUT,GRADIENT,HESS]= ... nlconst(funfcn,x,lb,ub,Ain,Bin,Aeq,Beq,confcn,OPTIONS,... verbosity,gradflag,gradconstflag,hessflag,meritFunctionType,... C
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www.eeworm.com/read/489224/6476896

m nlconst.m

function [x,FVAL,lambda_out,EXITFLAG,OUTPUT,GRADIENT,HESS]= ... nlconst(funfcn,x,lb,ub,Ain,Bin,Aeq,Beq,confcn,OPTIONS,... verbosity,gradflag,gradconstflag,hessflag,meritFunctionType,... C
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www.eeworm.com/read/485544/6552799

m mlpjacob.m

function g = mlpjacob(net, x) %MLPJACOB Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPJACOB(NET, X) takes a network data structure NET and an % input vec
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www.eeworm.com/read/480200/6668032

m klgrad.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % [err1,err2]=klGrad(dens1,dens2,estType) % Compute gradient of a KL-divergence estimate, D(dens1 || dens2); %
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www.eeworm.com/read/263879/11338193

m nlconst.m

function [x,FVAL,lambda_out,EXITFLAG,OUTPUT,GRADIENT,HESS]= ... nlconst(funfcn,x,lb,ub,Ain,Bin,Aeq,Beq,confcn,OPTIONS,... verbosity,gradflag,gradconstflag,hessflag,meritFunctionType,... C
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www.eeworm.com/read/337307/12377530

m nlconst.m

function [x,FVAL,lambda_out,EXITFLAG,OUTPUT,GRADIENT,HESS]= ... nlconst(funfcn,x,lb,ub,Ain,Bin,Aeq,Beq,confcn,OPTIONS,... verbosity,gradflag,gradconstflag,hessflag,meritFunctionType,... C
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www.eeworm.com/read/220289/14843897

m mlpjacob.m

function g = mlpjacob(net, x) %MLPJACOB Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPJACOB(NET, X) takes a network data structure NET and an % input vec
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www.eeworm.com/read/210255/15202760

m nlconst.m

function [x,FVAL,lambda_out,EXITFLAG,OUTPUT,GRADIENT,HESS]= ... nlconst(funfcn,x,lb,ub,Ain,Bin,Aeq,Beq,confcn,OPTIONS,... verbosity,gradflag,gradconstflag,hessflag,meritFunctionType,... C
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www.eeworm.com/read/13871/284584

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
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www.eeworm.com/read/13871/284628

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
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