| | |
| | | } |
| | | } |
| | | |
| | | void compare_networks(network n1, network n2, data test) |
| | | { |
| | | matrix g1 = network_predict_data(n1, test); |
| | | matrix g2 = network_predict_data(n2, test); |
| | | int i; |
| | | int a,b,c,d; |
| | | a = b = c = d = 0; |
| | | for(i = 0; i < g1.rows; ++i){ |
| | | int truth = max_index(test.y.vals[i], test.y.cols); |
| | | int p1 = max_index(g1.vals[i], g1.cols); |
| | | int p2 = max_index(g2.vals[i], g2.cols); |
| | | if(p1 == truth){ |
| | | if(p2 == truth) ++d; |
| | | else ++c; |
| | | }else{ |
| | | if(p2 == truth) ++b; |
| | | else ++a; |
| | | } |
| | | } |
| | | printf("%5d %5d\n%5d %5d\n", a, b, c, d); |
| | | } |
| | | |
| | | float network_accuracy(network net, data d) |
| | | { |
| | | matrix guess = network_predict_data(net, d); |