Spline representation and redundancies of one-dimensional ReLU neural network models

DOI10.1142/S0219530522400103MaRDI QIDQ5873929

Yannick Riebe, Gerlind Plonka-Hoch, Yurii S. Kolomoitsev

Publication date: 10 February 2023

Published in: Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2207.14609

zbMATH Keywords

recursive algorithmparameter redundanciesfree knot spline functionsReLU deep neural network

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical interpolation (65D05) Spline approximation (41A15)

Cites Work

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• Deep neural networks for rotation-invariance approximation and learning
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• Approximation by superpositions of a sigmoidal function
• A practical guide to splines.

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