| image-classification-on-imagenet | RedNet-152 | #723 | Top 1 Accuracy: 79.3%Number of params: 34MGFLOPs: 6.8 |
| image-classification-on-imagenet | RedNet-101 | #735 | Top 1 Accuracy: 79.1%Number of params: 25.6MGFLOPs: 4.7 |
| image-classification-on-imagenet | RedNet-50 | #789 | Top 1 Accuracy: 78.4%Number of params: 15.5MGFLOPs: 2.7 |
| image-classification-on-imagenet | RedNet-38 | #816 | Top 1 Accuracy: 77.6%Number of params: 12.4MGFLOPs: 2.2 |
| image-classification-on-imagenet | RedNet-26 | #869 | Top 1 Accuracy: 75.9%Number of params: 9.2MGFLOPs: 1.7 |