org.nd4j.linalg.learning.config

Class AdaMax

java.lang.Object

org.nd4j.linalg.learning.config.AdaMax

All Implemented Interfaces:

Serializable, Cloneable, IUpdater

public class AdaMax
extends Object
implements IUpdater

The AdaMax updater, a variant of Adam. https://arxiv.org/abs/1412.6980

Author:

Justin Long

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AdaMax.Builder

Field Summary

Fields

Modifier and Type	Field and Description
static double	DEFAULT_ADAMAX_BETA1_MEAN_DECAY
static double	DEFAULT_ADAMAX_BETA2_VAR_DECAY
static double	DEFAULT_ADAMAX_EPSILON
static double	DEFAULT_ADAMAX_LEARNING_RATE

Constructor Summary

Constructors

Constructor and Description
AdaMax()
AdaMax(double learningRate)
AdaMax(double learningRate, double beta1, double beta2, double epsilon)
AdaMax(ISchedule learningRateSchedule)

Method Summary

Modifier and Type	Method and Description
IUpdater	clone() Clone the updater
double	getLearningRate(int iteration, int epoch) Get the learning rate - if any - for the updater, at the specified iteration and epoch.
boolean	hasLearningRate()
GradientUpdater	instantiate(INDArray viewArray, boolean initializeViewArray) Create a new gradient updater
GradientUpdater	instantiate(Map<String,INDArray> updaterState, boolean initializeStateArrays)
void	setLrAndSchedule(double lr, ISchedule lrSchedule) Set the learning rate and schedule.
long	stateSize(long numParams) Determine the updater state size for the given number of parameters.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.nd4j.linalg.learning.config.IUpdater

equals

Field Detail

DEFAULT_ADAMAX_LEARNING_RATE

public static final double DEFAULT_ADAMAX_LEARNING_RATE

See Also:

Constant Field Values

DEFAULT_ADAMAX_EPSILON

public static final double DEFAULT_ADAMAX_EPSILON

See Also:

Constant Field Values

DEFAULT_ADAMAX_BETA1_MEAN_DECAY

public static final double DEFAULT_ADAMAX_BETA1_MEAN_DECAY

See Also:

Constant Field Values

DEFAULT_ADAMAX_BETA2_VAR_DECAY

public static final double DEFAULT_ADAMAX_BETA2_VAR_DECAY

See Also:

Constant Field Values

Constructor Detail

AdaMax

public AdaMax()

AdaMax

public AdaMax(double learningRate)

AdaMax

public AdaMax(ISchedule learningRateSchedule)

AdaMax

public AdaMax(double learningRate,
              double beta1,
              double beta2,
              double epsilon)

Method Detail

stateSize

public long stateSize(long numParams)

Description copied from interface: IUpdater

Determine the updater state size for the given number of parameters. Usually a integer multiple (0,1 or 2) times the number of parameters in a layer.

Specified by:

stateSize in interface IUpdater

Parameters:

numParams - Number of parameters

Returns:

Updater state size for the given number of parameters

instantiate

public GradientUpdater instantiate(INDArray viewArray,
                                   boolean initializeViewArray)

Description copied from interface: IUpdater

Create a new gradient updater

Specified by:

instantiate in interface IUpdater

Parameters:

viewArray - The updater state size view away

initializeViewArray - If true: initialise the updater state

Returns:

instantiate

public GradientUpdater instantiate(Map<String,INDArray> updaterState,
                                   boolean initializeStateArrays)

Specified by:

instantiate in interface IUpdater

clone

public IUpdater clone()

Description copied from interface: IUpdater

Clone the updater

Specified by:

clone in interface IUpdater

Overrides:

clone in class Object

getLearningRate

public double getLearningRate(int iteration,
                              int epoch)

Description copied from interface: IUpdater

Get the learning rate - if any - for the updater, at the specified iteration and epoch. Note that if no learning rate is applicable (AdaDelta, NoOp updaters etc) then Double.NaN should be return

Specified by:

getLearningRate in interface IUpdater

Parameters:

iteration - Iteration at which to get the learning rate

epoch - Epoch at which to get the learning rate

Returns:

Learning rate, or Double.NaN if no learning rate is applicable for this updater

hasLearningRate

public boolean hasLearningRate()

Specified by:

hasLearningRate in interface IUpdater

Returns:

True if the updater has a learning rate hyperparameter, false otherwise

setLrAndSchedule

public void setLrAndSchedule(double lr,
                             ISchedule lrSchedule)

Description copied from interface: IUpdater

Set the learning rate and schedule. Note: may throw an exception if IUpdater.hasLearningRate() returns false.

Specified by:

setLrAndSchedule in interface IUpdater

Parameters:

lr - Learning rate to set (typically not used if LR schedule is non-null)

lrSchedule - Learning rate schedule to set (may be null)