test_fcnn_training_load.cpp

#include <Pds/Ra>
#include <Pds/Nn>
#include "extras.h"
    
int main(void)
{
    Pds::Matrix X(Pds::Ra::TextFormat,"../test/data_x_yinyang.txt");
    Pds::Matrix Y(Pds::Ra::TextFormat,"../test/data_y_yinyang.txt");
    Pds::Matrix Ys(Y.Size());
    
    Pds::FCNn NN0("../test/NeuralNettwork0.txt",Pds::Sigmoid,Pds::DSigmoid);
    
    for(unsigned int k=0;k<10;k++)
    {
        NN0.Training(X,Y,0.1,0.01);
        
        NN0.Evaluate(X,Ys);
        
        std::cout<<"Test["<<k<<"]\t";
        std::cout<<"Accuracy %: "    <<100.0*Pds::Accuracy(Ys.Geq(0.5),Y)<<"\t";
        std::cout<<"MeanAbsError %: "<<100.0*Pds::MeanAbsoluteError(Ys,Y)<<std::endl;
    }  
        
    pds_octave_plot_vector(X,Y ,"x_1","x_2","testando.m","dataset_data_Y.png");
    pds_octave_plot_vector(X,Ys,"x_1","x_2","testando.m","dataset_data_Ys.png");
        
    NN0.Save("../test/NeuralNettwork0.txt"); 
    return 0;
}