org.openimaj.workinprogress.featlearn

Class SparseAutoencoder

java.lang.Object

org.openimaj.workinprogress.featlearn.SparseAutoencoder

All Implemented Interfaces:

DifferentiableObjectiveFunction<SparseAutoencoder.Model,double[],VectorParameters>, ObjectiveFunction<SparseAutoencoder.Model,double[],VectorParameters>

public class SparseAutoencoder
extends Object
implements DifferentiableObjectiveFunction<SparseAutoencoder.Model,double[],VectorParameters>

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SparseAutoencoder.Model

Constructor Summary

Constructors

Constructor and Description
SparseAutoencoder()

Method Summary

Modifier and Type	Method and Description
VectorParameters	derivative(SparseAutoencoder.Model model, double[] data)
void	updateModel(SparseAutoencoder.Model model, VectorParameters weights)
double	value(SparseAutoencoder.Model model, double[] data)

Methods inherited from class java.lang.Object

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

Constructor Detail

SparseAutoencoder

public SparseAutoencoder()

Method Detail

value

public double value(SparseAutoencoder.Model model,
                    double[] data)

Specified by:

value in interface ObjectiveFunction<SparseAutoencoder.Model,double[],VectorParameters>

derivative

public VectorParameters derivative(SparseAutoencoder.Model model,
                                   double[] data)

Specified by:

derivative in interface DifferentiableObjectiveFunction<SparseAutoencoder.Model,double[],VectorParameters>

updateModel

public void updateModel(SparseAutoencoder.Model model,
                        VectorParameters weights)

Specified by:

updateModel in interface DifferentiableObjectiveFunction<SparseAutoencoder.Model,double[],VectorParameters>