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The Challenge in Deep Learning Is Generalization
The main challenge in deep learning is a challenge that probably has been the challenge for many years, and is that of generalization. We just don't see generalization as much as we can generalize. I i think our newer nero networks, you can always find design examples that will make their outputs arbitrary - which is not good because we humans would never be fooled by this kind of images. And it's really a difficult problem and very fascinating and very mysterious. Like this conversation so much, because it echoes very much the star caft conversation. Let's break it down into small pieces, solve those, and you ent up solving the whole game.