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 java.lang.Object
implements Strategy

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

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

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