Difference between revisions of "Logging network weights"

From Artificial Neural Network for PHP
 
(2 intermediate revisions by the same user not shown)
Line 1: Line 1:
 
== Logging network weights while training ==
 
== Logging network weights while training ==
 
THIS EXAMPLE IS NOT UP TO DATE. PLEASE HAVE A LOOK TO XOR EXAMPLE!!!
 
   
 
<source lang="php">
 
<source lang="php">
require_once 'ANN/ANN_Loader.php';
+
require_once 'ANN/Loader.php';
  +
  +
use ANN\Network;
  +
use ANN\Values;
   
 
try
 
try
 
{
 
{
$objNetwork = ANN_Network::loadFromFile('xor.dat');
+
$objNetwork = Network::loadFromFile('xor.dat');
 
}
 
}
 
catch(Exception $e)
 
catch(Exception $e)
Line 14: Line 15:
 
print 'Creating a new one...';
 
print 'Creating a new one...';
 
 
$objNetwork = new ANN_Network;
+
$objNetwork = new Network;
   
$objValues = new ANN_Values;
+
$objValues = new Values;
   
 
$objValues->train()
 
$objValues->train()
Line 31: Line 32:
 
try
 
try
 
{
 
{
$objValues = ANN_Values::loadFromFile('values_xor.dat');
+
$objValues = Values::loadFromFile('values_xor.dat');
 
}
 
}
 
catch(Exception $e)
 
catch(Exception $e)

Latest revision as of 13:13, 1 June 2011

Logging network weights while training

require_once 'ANN/Loader.php';

use ANN\Network;
use ANN\Values;

try
{
  $objNetwork = Network::loadFromFile('xor.dat');
}
catch(Exception $e)
{
  print 'Creating a new one...';
	
  $objNetwork = new Network;

  $objValues = new Values;

  $objValues->train()
            ->input(0,0)->output(0)
            ->input(0,1)->output(1)
            ->input(1,0)->output(1)
            ->input(1,1)->output(0);

  $objValues->saveToFile('values_xor.dat');
  
  unset($objValues);
}

try
{
  $objValues = Values::loadFromFile('values_xor.dat');
}
catch(Exception $e)
{
  die('Loading of values failed');
}

$objNetwork->setValues($objValues); // to be called as of version 2.0.6

$objNetwork->logWeightsToFile('network.csv'); // Start logging

$objNetwork->train();

$objNetwork->saveToFile('xor.dat');