| Network | Top-1 error | Top-5 error |
|---|---|---|
| AlexNet | 43.45 | 20.91 |
| VGG-11 | 30.98 | 11.37 |
| VGG-13 | 30.07 | 10.75 |
| VGG-16 | 28.41 | 9.62 |
| VGG-19 | 27.62 | 9.12 |
| VGG-11 with batch normalization | 29.62 | 10.19 |
| VGG-13 with batch normalization | 28.45 | 9.63 |
| VGG-16 with batch normalization | 26.63 | 8.50 |
| VGG-19 with batch normalization | 25.76 | 8.15 |
| ResNet-18 | 30.24 | 10.92 |
| ResNet-34 | 26.70 | 8.58 |
| ResNet-50 | 23.85 | 7.13 |
| ResNet-101 | 22.63 | 6.44 |
| ResNet-152 | 21.69 | 5.94 |
| SqueezeNet 1.0 | 41.90 | 19.58 |
| SqueezeNet 1.1 | 41.81 | 19.38 |
| Densenet-121 | 25.35 | 7.83 |
| Densenet-169 | 24.00 | 7.00 |
| Densenet-201 | 22.80 | 6.43 |
| Densenet-161 | 22.35 | 6.20 |
| Inception v3 | 22.55 | 6.44 |
I test the pretrained model, vgg16, on the ILSVRC2012_img_val dataset. However , I got the 8 and 13.2 error for top-1 and top-5,respectively.
Data preprocessing is referenced on the Docs.