org.encog.neural.networks.training.strategy

Class SmartLearningRate

java.lang.Object

org.encog.neural.networks.training.strategy.SmartLearningRate

All Implemented Interfaces:

Strategy

public class SmartLearningRate
extends Object
implements Strategy

Attempt to automatically set the learning rate in a learning method that supports a learning rate.

Author:

jheaton

Field Summary

Fields

Modifier and Type	Field and Description
static double	LEARNING_DECAY Learning decay rate.

Constructor Summary

Constructors

Constructor and Description
SmartLearningRate()

Method Summary

Methods

Modifier and Type	Method and Description
void	init(MLTrain train) Initialize this strategy.
void	postIteration() Called just after a training iteration.
void	preIteration() Called just before a training iteration.

Methods inherited from class java.lang.Object

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

Field Detail

LEARNING_DECAY

public static final double LEARNING_DECAY

Learning decay rate.

See Also:

Constant Field Values

Constructor Detail

SmartLearningRate

public SmartLearningRate()

Method Detail

init

public void init(MLTrain train)

Initialize this strategy.

Specified by:

init in interface Strategy

Parameters:

train - The training algorithm.

postIteration

public void postIteration()

Called just after a training iteration.

Specified by:

postIteration in interface Strategy

preIteration

public void preIteration()

Called just before a training iteration.

Specified by:

preIteration in interface Strategy