Implementation of simplest neuron i.e Rosenblatt Perceptron Model. Following codebase will demonstrate a perceptron of learning basic logic gates e.g AND , OR, NAND and a simple personality classifier on the bases of height and weight.
g++ -std=c++11 -o <name-of-test> <name-of-test-file>.cpp
./<name-of-test>
#include <iostream>
#include <vector>
#include "perceptron.h"
using namespace std;
int main(){
Perceptron per(2);
cout<<"---- Weights before training ----"<<endl;
per.printWeights();
vector<pair<vector<double>, bool>> trainingset{
make_pair(vector<double> {1,0}, true),
make_pair(vector<double> {0,1}, true),
make_pair(vector<double> {0,0}, false)
};
per.traintilllearn(trainingset);
cout<<"---- Weights after training ----"<<endl;
per.printWeights();
cout<<"----Predicted Outputs----"<<endl;
cout<<per.predict(vector<double> {1,1})<<endl;
cout<<per.predict(vector<double> {1,0})<<endl;
cout<<per.predict(vector<double> {0,1})<<endl;
cout<<per.predict(vector<double> {0,0})<<endl;
return 0;
}Read from here