How is the overall success of a neural network approximation measured according to the text?
Answer
By the supremum norm, which is the maximum error over the entire input region.
The measure of success is defined by the supremum norm, meaning the approximation fails the overall test if even one tiny spot within the domain has an error spike that exceeds tolerance.
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