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/**
* DESCRIPTION OF THE FILE
*
* @author Michal Kravčenko
* @date 15.3.19 -
*/
#ifndef LIB4NEURO_NEURONBIASED_H
#define LIB4NEURO_NEURONBIASED_H
#include "Neuron.h"
namespace lib4neuro {
class NeuronBiased: public NeuronDifferentiable {
private:
double bias;
public:
/**
* Struct used to access private properties from
* the serialization function
*/
struct access;
/**
* Constructs the object of the Linear neuron with activation function
* f(x) = x + b
* @param[in] b Bias
*/
LIB4NEURO_API explicit NeuronBiased( double b );
/**
* Evaluates 'x + this->bias' and stores the result into the 'state' property
*/
LIB4NEURO_API double activate( double x, double b ) override;
/**
* Calculates the partial derivative of the activation function
* f(x) = x + this->bias at point x
* @return Partial derivative of the activation function according to the
* 'bias' parameter. Returns 0.0
*/
LIB4NEURO_API double activation_function_eval_derivative_bias( double x, double b ) override;
/**
* Calculates d/dx of (x + this->bias) at point x
* @return 1.0
*/
LIB4NEURO_API double activation_function_eval_derivative( double x, double b ) override;
/**
* Returns a pointer to a Neuron with derivative as its activation function
* @return
*/
LIB4NEURO_API Neuron* get_derivative( ) override;
};
}//end of namespace lib4neuro
#endif //LIB4NEURO_NEURONBIASED_H