“Double descent does not happen through depth.” The double descent curve, tells that increasing model capacity past the interpolation threshold can lead to a decrease in test error. Increasing neural network capacity through width leads to double descent. But what about the depth of the neural network? How does increase or reduction in-depth play out…

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