Neuron.hpp

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#pragma once
 
#include <vector>
#include <random>
#include "Connection.hpp"
 
typedef std::vector<Neuron> Layer;
 
class Neuron {
public:
    Neuron(unsigned numOutputs, unsigned myIdx);
 
    void setOutputVal(double val) { _outputVal = val; }
 
    double getOutputVal() const { return _outputVal; }
 
    void feedForward(const Layer& prevLayer);
 
    void calcOutputGradients(double targetVal);
 
    void calcHiddenGradients(const Layer& nextLayer);
 
    void updateInputWeights(Layer& prevLayer);
 
private:
    static double eta;  
    static double alpha; 
    
    static double randomWeight() { return rand() / double(RAND_MAX); }
 
    double _outputVal; 
    std::vector<Connection> _outputWeights; 
    unsigned _myIdx; 
    double _gradient; 
 
    static double transferFunction(double x);
 
    static double transferFunctionDerivative(double x);
 
    double sumDOW(const Layer& nextLayer) const;
};