Hi,
Now, pretrained VGG13~19 models with batch normalization are provided.
https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py 97
Are preprocess for them same as process for models without batch normalization?
(transforms.Normalize(mean=[0.485, 0.456, 0.406],std=[0.229, 0.224, 0.225]))
I would like to confirm since bellowing paper mentioned normalizing for input image was omitted and it make sense because it could be substituted by batch norm layer.
https://arxiv.org/pdf/1612.01452.pdf 19
How were models provided in the first link trained?
Thanks.