Package de.jungblut.math.activation

Class 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

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method 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 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.