| Benchmark | Model | Rank | Results |
|---|---|---|---|
| fine-grained-image-classification-on-caltech | PreResNet-101 | #13 | Top-1 Error Rate: 15.8036% |
| fine-grained-image-classification-on-oxford-2 | PreResNet-101 | #16 | Accuracy: 85.5897 |
| image-classification-on-cifar-10 | PreResNet-110 | #150 | Percentage correct: 94.4367 |
| image-classification-on-cifar-100 | PreResNet-110 | #150 | Percentage correct: 73.98 |
| image-classification-on-imagenet | DenseNet-169 (H4*) | #730 | Top 1 Accuracy: 79.152% |