Refine train.
| Before Width: | Height: | Size: 6.4 KiB After Width: | Height: | Size: 5.4 KiB | 
| Before Width: | Height: | Size: 648 B After Width: | Height: | Size: 760 B | 
| Before Width: | Height: | Size: 698 B After Width: | Height: | Size: 586 B | 
| Before Width: | Height: | Size: 1.6 KiB After Width: | Height: | Size: 1.5 KiB | 
| Before Width: | Height: | Size: 4.8 KiB After Width: | Height: | Size: 4.8 KiB | 
| Before Width: | Height: | Size: 4.2 KiB After Width: | Height: | Size: 2.8 KiB | 
| Before Width: | Height: | Size: 109 B After Width: | Height: | Size: 109 B | 
| Before Width: | Height: | Size: 3.4 KiB After Width: | Height: | Size: 3.6 KiB | 
| Before Width: | Height: | Size: 2.0 KiB After Width: | Height: | Size: 1.2 KiB | 
|  | @ -18,8 +18,8 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |||
| 
 | ||||
| # Hyper-parameters | ||||
| num_epochs = 1 | ||||
| batch_size = 256 | ||||
| learning_rate = 0.001 | ||||
| batch_size = 128 | ||||
| learning_rate = 0.2 | ||||
| 
 | ||||
| transform = transforms.Compose([transforms.ToTensor()]) | ||||
| 
 | ||||
|  |  | |||