As I understand AIC metric gives us which DL model is better at prediction relatively so I can use it on model selection thank you.
I think torch.set_deterministic() and torch.manuel_seed(0) are pretty useful for comparing how changes are affecting to the models. Is it a good way for DL model testing pipeline ?