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François Chollet: Keras, Deep Learning, and the Progress of AI
Lex Fridman Podcast
The Limits of Deep Learning?
Deep learning is really like point by point geometric morphing. Morphings, trend risk and descent can generalize much better than abstract rules. And I think the future is really to combine the two. For instance, if you try to learn a sorting algorithm using a deep neural network, well, you're very much limited to learning point by point. But instead you could have a very, very simple sorting algorithm written in a few lines. Maybe it's just, you know, to nest the loops. And it can process any list at all because it is an abstract set of rules.
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