Example #1
0
void evaluate_net(vector<pair<mat, mat> > &test_data) {

	NeuralNetwork net;
	net.load(NET_FILE_NAME);
	//net.print();

	double corrects = net.evaluate(test_data);
	double percentage = (corrects / CANT_TEST_ELEM) * 100;
	cout << "corrects: " << corrects << ", percentage: " << percentage << "%" << endl;

	cout<<"total cost: "<<net.calcule_total_cost(test_data, 0);
}
Example #2
0
 int mostLikely(Digit const & digit )
 {
     Vector<double> values(64);
     for(int i = 0; i < 8; i++)
         for(int j = 0; j < 8; j++)
             values.append(digit.color[i][j]);
     Vector<double> result = nn.evaluate(values);
     double maxV = result[0];
     int maxI = 0;
     for(int i = 1; i < result.getSize(); ++i)
     {
         if(maxV < result[i])
         {
             maxV = result[i];
             maxI = i;
         }
     }
     return maxI;
 }