Imagine my surprise when I tried to pass in a VGG 16 for the model, and couldn’t find it supported out of the box! I thought VGG was a staple for any kind of conv-net experiments, and many times the first go-to pretrained model.
I wanted to explore the addition of VGG16 for the fastai lib. Maybe for not all possible scenarios, but just for the basic fitting part. Also thought it’d give me a chance to work with the code-base and be a little familiar with it.
Would you have any objections? Also, what are the major impediments you can think of right away in trying to do that?