src/imagenet.c
@@ -32,7 +32,7 @@ pthread_join(load_thread, 0); train = buffer; /* /* image im = float_to_image(256, 256, 3, train.X.vals[114]); show_image(im, "training"); cvWaitKey(0); @@ -47,7 +47,7 @@ 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); free_data(train); if((i % 20000) == 0) net.learning_rate *= .1; if((i % 15000) == 0) net.learning_rate *= .1; //if(i%100 == 0 && net.learning_rate > .00001) net.learning_rate *= .97; if(i%1000==0){ char buff[256];