| | |
|---|
| | | load_weights(&net, weightfile); |
|---|
| | | } |
|---|
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
|---|
| | | int imgs = 128; |
|---|
| | | int imgs = 1024; |
|---|
| | | int i = net.seen/imgs; |
|---|
| | | char **labels = get_labels("/home/pjreddie/data/imagenet/cls.labels.list"); |
|---|
| | | list *plist = get_paths("/data/imagenet/cls.train.list"); |
|---|
| | |
|---|
| | | 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%100 == 0 && net.learning_rate > .00001) net.learning_rate *= .97; |
|---|
| | | if(i%100==0){ |
|---|
| | | char buff[256]; |
|---|
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i); |
|---|
