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/177129/9468942
m backpropagation_cgd.m
function [D, Wh, Wo] = Backpropagation_CGD(train_features, train_targets, params, region)
% Classify using a backpropagation network with a batch learning algorithm and conjugate gradient descent
www.eeworm.com/read/166306/10024513
m fminusub.m
function [x,FVAL,GRADIENT,HESSIAN,EXITFLAG,OUTPUT] = fminusub(funfcn,x,verbosity,options,Fval,Gval,Hval,varargin)
%FMINUSUB Finds the minimum of a function of several variables.
% Copyright (c)
www.eeworm.com/read/358694/10181652
m fminusub.m
function [x,FVAL,GRADIENT,HESSIAN,EXITFLAG,OUTPUT] = fminusub(funfcn,x,verbosity,options,Fval,Gval,Hval,varargin)
%FMINUSUB Finds the minimum of a function of several variables.
% Copyright (c)
www.eeworm.com/read/357771/10201296
m berg_cmegd.m
% this handles the exact-gradient-descent CMA algorithms for the
% bergulator, and is called by ui_traj.m
%
% if not available for your platform, you can create a .mex version
% by typing "mex -O ber
www.eeworm.com/read/353896/10406987
m fminusub.m
function [x,FVAL,GRADIENT,HESSIAN,EXITFLAG,OUTPUT] = fminusub(funfcn,x,verbosity,options,Fval,Gval,Hval,varargin)
%FMINUSUB Finds the minimum of a function of several variables.
% Copyright (c)
www.eeworm.com/read/349842/10796905
m backpropagation_cgd.m
function [D, Wh, Wo] = Backpropagation_CGD(train_features, train_targets, params, region)
% Classify using a backpropagation network with a batch learning algorithm and conjugate gradient descent
www.eeworm.com/read/273093/10927523
m fminusub.m
function [x,FVAL,GRADIENT,HESSIAN,EXITFLAG,OUTPUT] = fminusub(funfcn,x,verbosity,options,Fval,Gval,Hval,varargin)
%FMINUSUB Finds the minimum of a function of several variables.
% Copyright (c)
www.eeworm.com/read/469416/6976338
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampli
www.eeworm.com/read/172061/7074796
m fminusub.m
function [x,FVAL,GRADIENT,HESSIAN,EXITFLAG,OUTPUT] = fminusub(funfcn,x,verbosity,options,Fval,Gval,Hval,varargin)
%FMINUSUB Finds the minimum of a function of several variables.
% Copyright (c)