High-dimensional dynamics of generalization error in neural networks

10 Oct 2017 Madhu S. Advani Andrew M. Saxe

We perform an average case analysis of the generalization dynamics of large neural networks trained using gradient descent. We study the practically-relevant "high-dimensional" regime where the number of free parameters in the network is on the order of or even larger than the number of examples in the dataset... (read more)

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