Expired80% confidenceFactExact time
The Universal Approximation Theorem states that a single-hidden-layer feedforward neural network with a sufficient number of hidden neurons can approximate any continuous function to arbitrary precision, given a nonlinear activation function.
4
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
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