代码搜索：Gradient
找到约 2,951 项符合「Gradient」的源代码
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www.eeworm.com/read/124283/14578343
c vector_bfgs.c
/* multimin/vector_bfgs.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000 Fabrice Rossi
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU G
www.eeworm.com/read/212047/15166561
c vector_bfgs.c
/* multimin/vector_bfgs.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000 Fabrice Rossi
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU G
www.eeworm.com/read/167728/5452720
c vector_bfgs.c
/* multimin/vector_bfgs.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000 Fabrice Rossi
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU G
www.eeworm.com/read/475633/6774992
cpp gameswf_morph2.cpp
// gameswf_morph2.cpp
// -- Thatcher Ulrich , Mike Shaver 2003, Vitalij Alexeev 2004.
// This source code has been donated to the Public Domain. D
www.eeworm.com/read/413805/11141803
am makefile.am
if HAVE_GTK
TESTPROGRAMS = \
composite-test \
gradient-test \
fetch-test
noinst_PROGRAMS = $(TESTPROGRAMS)
INCLUDES = -I$(top_srcdir)/pixman $(GTK_CFLAGS)
composite_test_LDADD = $(top_builddir
www.eeworm.com/read/102394/15782831
c vector_bfgs.c
/* multimin/vector_bfgs.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000 Fabrice Rossi
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU G
www.eeworm.com/read/374321/9409339
m testgaussgradient.m
clear;close all;
im=imread('rice.png');
fim=mat2gray(im);
%draw magnitude of gradient
figure('name','Magnitude of Gradient');
[imx,imy]=gaussgradient(fim,0.5);
subplot(2,2,1); imshow(abs(imx)+ab
www.eeworm.com/read/389844/8496298
asv gdtrain.asv
%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%
% gdtrain(network,date,iterations) - gradient descent procedure for Matrix
% neural network training.
%
% Parame
www.eeworm.com/read/389844/8496317
m gdtrain.m
%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%
% gdtrain(network,date,iterations) - gradient descent procedure for Matrix
% neural network training.
%
% Parame
www.eeworm.com/read/303435/3811615
c grad.c
/* Copyright (c) Colorado School of Mines, 2006.*/
/* All rights reserved. */
/* */
/* Function gradient()