de.jungblut.math.activation

Class LinearActivationFunction

java.lang.Object

de.jungblut.math.activation.AbstractActivationFunction

de.jungblut.math.activation.LinearActivationFunction

All Implemented Interfaces:

ActivationFunction

public final class LinearActivationFunction
extends AbstractActivationFunction

Linear activation function. Basic proxy of the incoming values. Thus implementing the matrix and vector implementations with the return of the input.

Author:

thomas.jungblut

Constructor Summary

Constructors

Constructor and Description
LinearActivationFunction()

Method Summary

Modifier and Type	Method and Description
double	apply(double input) Applies the activation function on the given element.
de.jungblut.math.DoubleMatrix	apply(de.jungblut.math.DoubleMatrix matrix) Applies the gradient of the activation function on each element in the given matrix.
de.jungblut.math.DoubleVector	apply(de.jungblut.math.DoubleVector vector) Applies the activation function on each element in the given vector.
double	gradient(double input) Applies the gradient of the activation function on the given element.
de.jungblut.math.DoubleMatrix	gradient(de.jungblut.math.DoubleMatrix matrix) Applies the gradient of the activation function on each element in the given matrix.
de.jungblut.math.DoubleVector	gradient(de.jungblut.math.DoubleVector vector) Applies the gradient of the activation function on each element in the given vector.

Methods inherited from class de.jungblut.math.activation.AbstractActivationFunction

newInstance, newInstance, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearActivationFunction

public LinearActivationFunction()

Method Detail

apply

public double apply(double input)

Description copied from interface: ActivationFunction

Applies the activation function on the given element.

gradient

public double gradient(double input)

Description copied from interface: ActivationFunction

Applies the gradient of the activation function on the given element.

apply

public de.jungblut.math.DoubleVector apply(de.jungblut.math.DoubleVector vector)

Description copied from interface: ActivationFunction

Applies the activation function on each element in the given vector.

Specified by:

apply in interface ActivationFunction

Overrides:

apply in class AbstractActivationFunction

Parameters:

vector - the vector to apply this function on.

Returns:

a new vector that contains the activated elements.

apply

public de.jungblut.math.DoubleMatrix apply(de.jungblut.math.DoubleMatrix matrix)

Description copied from interface: ActivationFunction

Applies the gradient of the activation function on each element in the given matrix.

Specified by:

apply in interface ActivationFunction

Overrides:

apply in class AbstractActivationFunction

Parameters:

matrix - the matrix to apply this function on.

Returns:

a new matrix that contains the gradient of the elements.

gradient

public de.jungblut.math.DoubleVector gradient(de.jungblut.math.DoubleVector vector)

Description copied from interface: ActivationFunction

Applies the gradient of the activation function on each element in the given vector.

Specified by:

gradient in interface ActivationFunction

Overrides:

gradient in class AbstractActivationFunction

Parameters:

vector - the vector to apply this function on.

Returns:

a new vector that contains the gradient of the elements.

gradient

public de.jungblut.math.DoubleMatrix gradient(de.jungblut.math.DoubleMatrix matrix)

Description copied from interface: ActivationFunction

Applies the gradient of the activation function on each element in the given matrix.

Specified by:

gradient in interface ActivationFunction

Overrides:

gradient in class AbstractActivationFunction

Parameters:

matrix - the matrix to apply this function on.

Returns:

a new matrix that contains the gradient of the elements.