Hacker News new | ask | show | jobs
by svara 757 days ago
You're thinking simple image augmentations. These nets learn much more complex invariants. Basically to isolate concepts from irrelevant context. The point is you can't remove that image from the training data (not practically) and the experiment is pointless if it's in there.
1 comments

Sure you can. Have it generate a new photo. Or dump a barrel of wine over the giraffe.