C# Class Accord.Neuro.ActivationFunctions.BernoulliFunction

Inheritance: IStochasticFunction

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Méthodes publiques

Méthode	Description
BernoulliFunction ( ) : System	Initializes a new instance of the BernoulliFunction class.
BernoulliFunction ( double alpha ) : System	Initializes a new instance of the BernoulliFunction class.
Derivative ( double x ) : double	Calculates function derivative. The method calculates function derivative at point x.
Derivative2 ( double y ) : double	Calculates function derivative. The method calculates the same derivative value as the Derivative method, but it takes not the input x value itself, but the function value, which was calculated previously with the help of Function method. Some applications require as function value, as derivative value, so they can save the amount of calculations using this method to calculate derivative.
Function ( double x ) : double	Calculates function value. The method calculates function value at point x.
Generate ( double x ) : double	Samples a value from the function given a input value.
Generate2 ( double y ) : double	Samples a value from the function given a function output value. The method calculates the same output value as the Generate method, but it takes not the input x value itself, but the function value, which was calculated previously with help of the IActivationFunction.Function(double) method.

Method Details

BernoulliFunction() public méthode

Initializes a new instance of the BernoulliFunction class.

public BernoulliFunction ( ) : System
Résultat	System

BernoulliFunction() public méthode

Initializes a new instance of the BernoulliFunction class.

public BernoulliFunction ( double alpha ) : System
alpha	double	Sigmoid's alpha value. Default is 1.
Résultat	System

Derivative() public méthode

Calculates function derivative.

The method calculates function derivative at point x.

public Derivative ( double x ) : double
x	double	Function input value.
Résultat	double

Derivative2() public méthode

Calculates function derivative.

The method calculates the same derivative value as the Derivative method, but it takes not the input x value itself, but the function value, which was calculated previously with the help of Function method.

Some applications require as function value, as derivative value, so they can save the amount of calculations using this method to calculate derivative.

public Derivative2 ( double y ) : double
y	double	Function output value - the value, which was obtained /// with the help of method.
Résultat	double

Function() public méthode

Calculates function value.

The method calculates function value at point x.

public Function ( double x ) : double
x	double	Function input value.
Résultat	double

Generate() public méthode

Samples a value from the function given a input value.

public Generate ( double x ) : double
x	double	Function input value.
Résultat	double

Generate2() public méthode

Samples a value from the function given a function output value.

The method calculates the same output value as the Generate method, but it takes not the input x value itself, but the function value, which was calculated previously with help of the IActivationFunction.Function(double) method.

public Generate2 ( double y ) : double
y	double	The function output value. This is the value which was obtained /// with the help of the method.
Résultat	double