A Notation and preliminaries

Neural Information Processing Systems 

A.1 Overview of used notation Table 1: Glossary of used notation. We recall some basic results on the approximation of functions by tanh neural networks in this section. Using the notation of the proof of Theorem 3.5 ( SM B.2), it holds that D Section 3.3 and SM A.2, let ( s, 0) ( s, 0) ( s, 0) ( s, 0) ( s, 0) This is made exact in [15, Section 4]. We now highlight the main steps in the proof. ", (B.18) Putting everything together, we find that if CN This is a consequence of [38, Theorem 36] and Lemma D.1 with " N See SM A.2 for an overview of the notation for finite difference operators.

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