Optimal approximation of piecewise smooth functions using deep ReLU neural networks
DOI10.1016/j.neunet.2018.08.019zbMath1434.68516arXiv1709.05289OpenAlexW2963146412WikidataQ91665574 ScholiaQ91665574MaRDI QIDQ2182898
Philipp Petersen, Felix Voigtlaender
Publication date: 26 May 2020
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1709.05289
metric entropypiecewise smooth functionsfunction approximationcurse of dimensiondeep neural networkssparse connectivity
Artificial neural networks and deep learning (68T07) Algorithms for approximation of functions (65D15)
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