greycat.ml.neuralnet.optimiser

Class AdaDelta

java.lang.Object

greycat.ml.neuralnet.optimiser.AdaDelta

All Implemented Interfaces:

Optimiser

public class AdaDelta
extends Object

Created by assaad on 17/02/2017.

Field Summary

Fields

Modifier and Type	Field and Description
protected ENode	_backend
protected static String	LEARNING_RATE
protected double	learningRate
protected double	regularization
protected static String	REGULARIZATION_RATE

Method Summary

Modifier and Type	Method and Description
void	finalUpdate(Layer[] layers)
void	setBatchSize(int batchSize)
void	setFrequency(int maxSteps)
void	setParams(double[] params)
void	stepUpdate(Layer[] layers)
protected void	update(Layer[] layers)

Methods inherited from class java.lang.Object

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

Field Detail

LEARNING_RATE

protected static final String LEARNING_RATE

See Also:

Constant Field Values

REGULARIZATION_RATE

protected static final String REGULARIZATION_RATE

See Also:

Constant Field Values

learningRate

protected double learningRate

regularization

protected double regularization

_backend

protected ENode _backend

Method Detail

setParams

public void setParams(double[] params)

Specified by:

setParams in interface Optimiser

update

protected void update(Layer[] layers)

setBatchSize

public void setBatchSize(int batchSize)

Specified by:

setBatchSize in interface Optimiser

setFrequency

public void setFrequency(int maxSteps)

Specified by:

setFrequency in interface Optimiser

stepUpdate

public void stepUpdate(Layer[] layers)

Specified by:

stepUpdate in interface Optimiser

finalUpdate

public void finalUpdate(Layer[] layers)

Specified by:

finalUpdate in interface Optimiser