Can anyone help me with training a network (e.g. alexnet) from scratch on a dataset (e.g. imagenet, or
CIFAR10)?
I read the transfer learning tutorial but it was for finetuning
The finetuning example is enough.
You just need to set pretrained =False
and send all params to your optimizer.
From scratch
models.resnet18()
Pretrained:
models.resnet18(pretrained=True)