DiwaActivationFunc Class Reference

Class containing static methods for common activation functions. More...

#include <diwa_activations.h>

Static Public Member Functions
static double	sigmoid (double x)
	Sigmoid activation function.
static double	gaussian (double x)
	Gaussian activation function.

Detailed Description

Class containing static methods for common activation functions.

The DiwaActivationFunc class provides a set of static methods for common activation functions used in neural networks. These activation functions transform the input value to produce the output value of a neuron. Supported activation functions include sigmoid and gaussian functions.

Member Function Documentation

gaussian()

static double DiwaActivationFunc::gaussian ( double  x )

inlinestatic

Gaussian activation function.

The gaussian activation function takes an input value and returns the corresponding output value after applying the gaussian transformation. It produces a bell-shaped curve, ensuring that the output value decreases smoothly as the input value moves away from the center.

Parameters

x	The input value to be transformed.

Returns

The transformed output value after applying the gaussian function.

sigmoid()

static double DiwaActivationFunc::sigmoid ( double  x )

inlinestatic

Sigmoid activation function.

The sigmoid activation function takes an input value and returns the corresponding output value after applying the sigmoid transformation. It ensures that the output value is bounded between 0 and 1, suitable for binary classification tasks and preventing overflow.

Parameters

x	The input value to be transformed.

Returns

The transformed output value after applying the sigmoid function.

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The documentation for this class was generated from the following file:

• src/diwa_activations.h