de.jungblut.math.activation

Interface ActivationFunction

All Known Implementing Classes:

AbstractActivationFunction, ElliotActivationFunction, LinearActivationFunction, LogActivationFunction, ReluActivationFunction, SigmoidActivationFunction, SoftMaxActivationFunction, SoftplusReluActivationFunction, StepActivationFunction, TanhActivationFunction

public interface ActivationFunction

Squashing function interface to provide multiple activation functions, e.G. in the MultilayerPerceptron.

Author:

thomas.jungblut

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.

Method Detail

apply

double apply(double input)

Applies the activation function on the given element.

apply

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

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

Parameters:

vector - the vector to apply this function on.

Returns:

a new vector that contains the activated elements.

apply

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

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

Parameters:

matrix - the matrix to apply this function on.

Returns:

a new matrix that contains the gradient of the elements.

gradient

double gradient(double input)

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

gradient

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

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

Parameters:

vector - the vector to apply this function on.

Returns:

a new vector that contains the gradient of the elements.

gradient

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

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

Parameters:

matrix - the matrix to apply this function on.

Returns:

a new matrix that contains the gradient of the elements.