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Have you actually tried to use one of those networks on a decent real dataset? They're making common category errors. ImageNet roulette is an interesting fun ex
by AstralStorm 7y ago
Have you actually tried to use one of those networks on a decent real dataset? They're making common category errors.
ImageNet roulette is an interesting fun example of what happens if you feed an overfitted network with real images. Such as misclassifying children. :)
- bermanoid 7y agoImageNet Roulette deliberately uses a terrible categorization scheme that has long been acknowledged as so poor as to not admit meaningful results in order to make the highly political point that ML should never be applied to people. There's a reason most people scrub that whole piece of the taxonomy before training. Good Resnet models trained on ImageNet (the good parts, not just people) tend to result in state of the art results for almost every transfer-learning domain they're applied to.