Record ImageNet 1-crop (224x224) error rates (#94)

torchvision/models/__init__.py

@@ -25,6 +25,26 @@ PyTorch :mod:`torch.utils.model_zoo`. These can  constructed by passing
     resnet18 = models.resnet18(pretrained=True)
     alexnet = models.alexnet(pretrained=True)
 
+ImageNet 1-crop error rates (224x224)
+
+======================== =============   =============
+Network                  Top-1 error     Top-5 error
+======================== =============   =============
+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
+AlexNet                  43.45           20.91
+VGG-11                   32.14           12.12
+VGG-13                   31.04           11.40
+VGG-16                   29.11           10.17
+VGG-19                   28.42           9.69
+SqueezeNet 1.0           41.90           19.58
+SqueezeNet 1.1           41.81           19.38
+======================== =============   =============
+
+
 .. _AlexNet: https://arxiv.org/abs/1404.5997
 .. _VGG: https://arxiv.org/abs/1409.1556
 .. _ResNet: https://arxiv.org/abs/1512.03385