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JOURNALS // Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia // Archive

Dokl. RAN. Math. Inf. Proc. Upr., 2020 Volume 490, Pages 74–77 (Mi danma38)

INFORMATICS

Absence of bottlenecks in a neural network determines its generic functional properties

S. V. Kurochkin

National Research University "Higher School of Economics", Moscow, Russian Federation

Abstract: It is proved that an artificial neural network with smooth activation functions and without bottlenecks is a Morse function for almost all, with respect to the Lebesgue measure, sets of weights.

Keywords: neural network, Morse function.

UDC: 519.651

Presented: K. V. Rudakov
Received: 08.11.2019
Revised: 08.11.2019
Accepted: 08.11.2019

DOI: 10.31857/S2686954320010166


 English version:
Doklady Mathematics, 2020, 101:1, 62–65

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© Steklov Math. Inst. of RAS, 2025