[KongchangAI]
Unverified50% confidenceFactExact time

For any smoothness s>0 and dimension D≥1, a ReLU network with width O(N), depth O(L), and parameter magnitude O(1) can achieve uniform approximation error (N^2L^2 log N)^{-s/D}, and no fixed relationship between width and depth is required.

1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen

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