| | |
| | | } |
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
| | | int imgs = 1024; |
| | | int i = net.seen/imgs; |
| | | int i = *net.seen/imgs; |
| | | char **labels = dice_labels; |
| | | list *plist = get_paths("data/dice/dice.train.list"); |
| | | char **paths = (char **)list_to_array(plist); |
| | |
| | | |
| | | time=clock(); |
| | | float loss = train_network(net, train); |
| | | net.seen += imgs; |
| | | if(avg_loss == -1) avg_loss = loss; |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), net.seen); |
| | | printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), *net.seen); |
| | | free_data(train); |
| | | if((i % 100) == 0) net.learning_rate *= .1; |
| | | if(i%100==0){ |