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#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
Machine Learning Street Talk (MLST)
Neural Networks Are Learning Increasing Abstraction
One of the big ideas in your networks is that they learn increasingly abstract representations. And just talking about m l ps for a second, what i took from randall's work is that that's not the case. In ano network you can't really talk about object ness as a thing. But on the other hand, we do have the human brain as kind of an exctant example of a neural network that does these certain types of he behaviors that were rsted and replicating.
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