org.neuroph.samples.evaluation.optimization

Class MLPMNISTOptimization

java.lang.Object

org.neuroph.samples.evaluation.optimization.MLPMNISTOptimization

public class MLPMNISTOptimization
extends java.lang.Object

Example which demonstrated how to use MultilayerPerceptronOptimazer in order to create optimal network architecture for MNIST dataset

Default optimization parameters are used.

Constructor Summary

Constructors

Constructor and Description
MLPMNISTOptimization()

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

MLPMNISTOptimization

public MLPMNISTOptimization()

Method Detail

main

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

Throws:

java.io.IOException