forked from ecker/DL-Art-School
Let the Generator get to a point where it is at least competing with the discriminator before firing off. Backwards from most GAN architectures, but this one is a bit different from most. |
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| .. | ||
| archs | ||
| __init__.py | ||
| base_model.py | ||
| loss.py | ||
| lr_scheduler.py | ||
| networks.py | ||
| SR_model.py | ||
| SRGAN_model.py | ||