| image-classification-on-imagenet | AlphaNet-A6 | #650 | Top 1 Accuracy: 80.8%GFLOPs: 0.709 |
| image-classification-on-imagenet | AlphaNet-A5 | #676 | Top 1 Accuracy: 80.3%GFLOPs: 0.491 |
| image-classification-on-imagenet | AlphaNet-A4 | #687 | Top 1 Accuracy: 80.0%GFLOPs: 0.444 |
| image-classification-on-imagenet | AlphaNet-A3 | #717 | Top 1 Accuracy: 79.4%GFLOPs: 0.357 |
| image-classification-on-imagenet | AlphaNet-A2 | #734 | Top 1 Accuracy: 79.1%GFLOPs: 0.317 |
| image-classification-on-imagenet | AlphaNet-A1 | #757 | Top 1 Accuracy: 78.9%GFLOPs: 0.279 |
| image-classification-on-imagenet | AlphaNet-A0 | #812 | Top 1 Accuracy: 77.8%GFLOPs: 0.203 |
| neural-architecture-search-on-imagenet | AlphaNet-A6 | #10 | Top-1 Error Rate: 19.2Accuracy: 80.8FLOPs: 709M |
| neural-architecture-search-on-imagenet | AlphaNet-A5 (base) | #12 | Top-1 Error Rate: 19.4Accuracy: 80.6FLOPs: 596M |
| neural-architecture-search-on-imagenet | AlphaNet-A5 (small) | #17 | Top-1 Error Rate: 19.7Accuracy: 80.3FLOPs: 491M |
| neural-architecture-search-on-imagenet | AlphaNet-A4 | #21 | Top-1 Error Rate: 20.0Accuracy: 80.0FLOPs: 444M |
| neural-architecture-search-on-imagenet | AlphaNet-A3 | #31 | Top-1 Error Rate: 20.6Accuracy: 79.4FLOPs: 357M |
| neural-architecture-search-on-imagenet | AlphaNet-A2 | #32 | Top-1 Error Rate: 20.8Accuracy: 79.2FLOPs: 317M |
| neural-architecture-search-on-imagenet | AlphaNet-A1 | #35 | Top-1 Error Rate: 21.0Accuracy: 79.0FLOPs: 279M |
| neural-architecture-search-on-imagenet | AlphaNet-A0 | #51 | Top-1 Error Rate: 22.1Accuracy: 77.9FLOPs: 203M |