nuroko.core

Interface ITrainable

All Superinterfaces:

Cloneable, IFunction<mikera.vectorz.AVector,mikera.vectorz.AVector>, IInput, IInputOutput, IModule, IOutput, IParameterised, IThinker

All Known Subinterfaces:

IComponent

All Known Implementing Classes:

AComponent, ACompoundComponent, ALayerStack, AOperationComponent, AWeightLayer, CompoundLayerStack, Dropout, FullWeightLayer, GradientAmplifier, Identity, Join, NeuralNet, Normaliser, Operator, SparseWeightLayer, Sparsifier, Stack, ThinkingOp, TrainingOp

public interface ITrainable
extends IThinker, IParameterised

Represents a thinker that can be trained in a supervised fashion using a target output

Author:

Mike

Method Summary

Methods

Modifier and Type	Method and Description
ITrainable	clone() Creates a clone of a module, including a deep copy of any mutable state.
void	thinkInternalTraining()
void	train(mikera.vectorz.AVector input, mikera.vectorz.AVector target) Trains towards a target value.
void	train(mikera.vectorz.AVector input, mikera.vectorz.AVector target, LossFunction loss, double factor) Trains towards a target value using a specified loss function.

Methods inherited from interface nuroko.core.IThinker

think, think

Methods inherited from interface nuroko.core.IOutput

getOutputLength

Methods inherited from interface nuroko.core.IInput

getInputLength

Methods inherited from interface nuroko.core.IModule

getModules

Methods inherited from interface nuroko.core.IParameterised

getGradient, getParameterLength, getParameters

Method Detail

train

void train(mikera.vectorz.AVector input,
         mikera.vectorz.AVector target)

Trains towards a target value. Performs thinking as required. Updates parameter gradient Overwrites outputGradient and inputGradient in components

train

void train(mikera.vectorz.AVector input,
         mikera.vectorz.AVector target,
         LossFunction loss,
         double factor)

Trains towards a target value using a specified loss function. Updates parameter gradient Overwrites outputGradient and inputGradient in components

thinkInternalTraining

void thinkInternalTraining()

clone

ITrainable 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 IModule

Specified by:

clone in interface IParameterised

Specified by:

clone in interface IThinker

Returns: