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Update VGG error rates #319

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Update VGG error rates #319

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16 changes: 8 additions & 8 deletions pytorch_vision_vgg.md
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Expand Up @@ -101,14 +101,14 @@ Their 1-crop error rates on imagenet dataset with pretrained models are listed b

| Model structure | Top-1 error | Top-5 error |
| --------------- | ----------- | ----------- |
| vgg11 | 30.98 | 11.37 |
| vgg11_bn | 26.70 | 8.58 |
| vgg13 | 30.07 | 10.75 |
| vgg13_bn | 28.45 | 9.63 |
| vgg16 | 28.41 | 9.62 |
| vgg16_bn | 26.63 | 8.50 |
| vgg19 | 27.62 | 9.12 |
| vgg19_bn | 25.76 | 8.15 |
| vgg11 | 30.98 | 11.372 |
| vgg11_bn | 29.63 | 90.374 |
| vgg13 | 30.072 | 10.754 |
| vgg13_bn | 28.414 | 9.626 |
| vgg16 | 28.408 | 9.618 |
| vgg16_bn | 26.64 | 8.484 |
| vgg19 | 27.624 | 9.124 |
| vgg19_bn | 25.782 | 8.158 |

### References

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