代码搜索:Learning
找到约 5,352 项符合「Learning」的源代码
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www.eeworm.com/read/469416/6976499
m demsom1.m
%DEMSOM1 Demonstrate SOM for visualisation.
%
% Description
% This script demonstrates the use of a SOM with a two-dimensional
% grid to map onto data in two-dimensional space. Both on-line an
www.eeworm.com/read/299459/7849883
pl references.pl
{
"Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two
multivariate normal distributions with differrentia covariance matrices.
Anals of Mathematical Statistics, 33:420--431, Ju
www.eeworm.com/read/198191/7947834
m delta.m
% %Question No: 5 (b)
% Determine the weights of a network with 4 input and 2 output units using
% Delta Learning Law with f(x)=1/(1+exp(-x)) for the following input-output
% pairs:
%
% Input:
www.eeworm.com/read/196528/8077230
readme
Protected Mode Programming
==========================
This is a 80x86 protected mode learning package used under the
bochs system. The hard disk image file contains a MSDOS 6.22 system,
www.eeworm.com/read/143706/12849990
m demsom1.m
%DEMSOM1 Demonstrate SOM for visualisation.
%
% Description
% This script demonstrates the use of a SOM with a two-dimensional
% grid to map onto data in two-dimensional space. Both on-line and
%
www.eeworm.com/read/140851/13059370
m demsom1.m
%DEMSOM1 Demonstrate SOM for visualisation.
%
% Description
% This script demonstrates the use of a SOM with a two-dimensional
% grid to map onto data in two-dimensional space. Both on-line an
www.eeworm.com/read/138798/13212415
m demsom1.m
%DEMSOM1 Demonstrate SOM for visualisation.
%
% Description
% This script demonstrates the use of a SOM with a two-dimensional
% grid to map onto data in two-dimensional space. Both on-line an
www.eeworm.com/read/323831/13313925
h stochasticgradient.h
// Copyright (C) 2003 Ronan Collobert (collober@idiap.ch)
//
// This file is part of Torch 3.
//
// All rights reserved.
//
// Redistribution and use in source and binary forms,
www.eeworm.com/read/312163/13617307
pl references.pl
{
"Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two
multivariate normal distributions with differrentia covariance matrices.
Anals of Mathematical Statistics, 33:420--431, Ju
www.eeworm.com/read/134901/5891495
pl references.pl
{
"Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two
multivariate normal distributions with differrentia covariance matrices.
Anals of Mathematical Statistics, 33:420--431, Ju