nuroko.module

Class CompoundLayerStack

java.lang.Object

nuroko.module.AComponent

nuroko.module.ALayerStack

nuroko.module.CompoundLayerStack

All Implemented Interfaces:

Cloneable, Iterable<IComponent>, IComponent, IFunction<mikera.vectorz.AVector,mikera.vectorz.AVector>, IInput, IInputOutput, IInputState, IModule, IOutput, IOutputState, IParameterised, ISynthesiser, IThinker, ITrainable

public class CompoundLayerStack
extends ALayerStack

Constructor Summary

Constructors

Constructor and Description
CompoundLayerStack(ALayerStack a, ALayerStack b)

Method Summary

Modifier and Type	Method and Description
ALayerStack	clone() Creates a clone of a module, including a deep copy of any mutable state.
static ALayerStack	create(List<AWeightLayer> layers)
List<IComponent>	getComponents()
mikera.vectorz.AVector	getData(int i)
mikera.vectorz.AVector	getGradient() Return an AVector referencing the accumulated gradient in this model
mikera.vectorz.AVector	getInputGradient()
AWeightLayer	getLayer(int i)
int	getLayerCount()
mikera.vectorz.AVector	getOutputGradient()
mikera.vectorz.AVector	getParameters() Return an AVector referring to the parameters in the model.
boolean	hasDifferentTrainingThinking()
static ALayerStack	stack(ALayerStack a, ALayerStack b)
void	thinkInternal() Thinks within the scope of the component.
void	trainGradientInternal(double factor) Abstract method for training gradients.

Methods inherited from class nuroko.module.ALayerStack

getInput, getLayers, getOutput, subStack

Methods inherited from class nuroko.module.AComponent

applyConstraints, applyConstraintsInternal, generate, generate, getComponent, getConstraints, getDefaultLossFunction, getDownStack, getInputLength, getInputState, getLearnFactor, getModules, getOutputLength, getParameterLength, getUpStack, initRandom, isStochastic, isSynthesiser, iterator, setConstraint, setInput, setLearnFactor, setOutput, think, think, thinkInternalTraining, topComponent, train, train, trainSynth, trainSynth

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Constructor Detail

CompoundLayerStack

public CompoundLayerStack(ALayerStack a,
                          ALayerStack b)

Method Detail

stack

public static ALayerStack stack(ALayerStack a,
                                ALayerStack b)

thinkInternal

public void thinkInternal()

Description copied from interface: IComponent

Thinks within the scope of the component. Updates component's output.

trainGradientInternal

public void trainGradientInternal(double factor)

Description copied from class: AComponent

Abstract method for training gradients. Assumes use of the current activation states for all inputs/outputs. Should overwrite inputGradient, and adjust gradient for all parameters. Should apply own internal learn rate factor

Specified by:

trainGradientInternal in interface IComponent

Specified by:

trainGradientInternal in class AComponent

getComponents

public List<IComponent> getComponents()

getParameters

public mikera.vectorz.AVector getParameters()

Description copied from interface: IParameterised

Return an AVector referring to the parameters in the model. Expected to be mutable.

Returns:

getGradient

public mikera.vectorz.AVector getGradient()

Description copied from interface: IParameterised

Return an AVector referencing the accumulated gradient in this model

Returns:

getInputGradient

public mikera.vectorz.AVector getInputGradient()

getOutputGradient

public mikera.vectorz.AVector getOutputGradient()

getLayerCount

public int getLayerCount()

Specified by:

getLayerCount in class ALayerStack

getLayer

public AWeightLayer getLayer(int i)

Specified by:

getLayer in class ALayerStack

getData

public mikera.vectorz.AVector getData(int i)

Specified by:

getData in class ALayerStack

clone

public ALayerStack clone()

Description copied from interface: IModule

Creates a clone of a module, including a deep copy of any mutable state.

Specified by:

clone in interface IComponent

Specified by:

clone in interface IModule

Specified by:

clone in interface IParameterised

Specified by:

clone in interface ISynthesiser

Specified by:

clone in interface IThinker

Specified by:

clone in interface ITrainable

Specified by:

clone in class ALayerStack

Returns:

create

public static ALayerStack create(List<AWeightLayer> layers)

hasDifferentTrainingThinking

public boolean hasDifferentTrainingThinking()