$ cd Awesome-GANs
$ python3 -m awesome_gans.wgan [parameters...]$ cd Awesome-GANs
$ python3 -m awesome_gans.wgan --width 32 --height 32 --n_channels 3 --dataset 'cifar10'$ cd Awesome-GANs
$ python3 -m awesome_gans.wgan --width 28 --height 28 --n_channels 1 --dataset 'mnist'- Same with the
WGANpaper.
| Difference | Paper | Mine |
|---|---|---|
| Networks | ResNet like |
simple 4 conv nets |
| Name | Epoch 1 | Epoch 20 | Epoch 1 ~ 35 |
|---|---|---|---|
| WGAN |  |
 |
 |