| | |
| | | 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); |
| | | if((i-1)*imgs <= N && i*imgs > N){ |
| | | fprintf(stderr, "First stage done\n"); |
| | | net.learning_rate *= 10; |
| | | char buff[256]; |
| | | sprintf(buff, "%s/%s_first_stage.weights", backup_directory, base); |
| | | save_weights(net, buff); |
| | | } |
| | | |
| | | if((i-1)*imgs <= 80*N && i*imgs > N*80){ |
| | | fprintf(stderr, "Second stage done.\n"); |
| | | char buff[256]; |
| | | sprintf(buff, "%s/%s_second_stage.weights", backup_directory, base); |
| | | save_weights(net, buff); |
| | | } |
| | | if(i%1000==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i); |