| | |
| | | time=clock(); |
| | | float loss = train_network(net, train); |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), i*imgs*net.batch); |
| | | printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), i*imgs); |
| | | if(i%100==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/detnet_%d.cfg", i); |
| | |
| | | set_learning_network(&net, net.learning_rate, 0, net.decay); |
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
| | | int imgs = 1024; |
| | | int i = 77700; |
| | | int i = 0; |
| | | char **labels = get_labels("/home/pjreddie/data/imagenet/cls.labels.list"); |
| | | list *plist = get_paths("/data/imagenet/cls.train.list"); |
| | | char **paths = (char **)list_to_array(plist); |
| | |
| | | free_data(train); |
| | | if(i%100==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/net_%d.cfg", i); |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/alexnet_%d.cfg", i); |
| | | save_network(net, buff); |
| | | } |
| | | } |