org.neuroph.samples.mnist.learn

Class MultiLayerMNIST

java.lang.Object

org.neuroph.samples.mnist.learn.MultiLayerMNIST

public class MultiLayerMNIST
extends java.lang.Object

Utility class which can be used from command prompt to train MLP

Constructor Summary

Constructors

Constructor and Description
MultiLayerMNIST()

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MultiLayerMNIST

public MultiLayerMNIST()

Method Detail

main

public static void main(java.lang.String[] args)
                 throws java.io.IOException

Parameters:

args - Command line parameters used to initialize parameters of multi layer neural network optimizer [0] - maximal number of epochs during learning [1] - learning error stop condition [2] - learning rate used during learning process [3] - number of validation folds [4] - max number of layers in neural network [5] - min neuron count per layer [6] - max neuron count per layer [7] - neuron increment count

Throws:

java.io.IOException