The Gap between Theory and Practice in Function Approximation with Deep Neural Networks
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Publication:4999396
DOI10.1137/20M131309XzbMath1483.65028arXiv2001.07523OpenAlexW3158148831MaRDI QIDQ4999396
Publication date: 6 July 2021
Published in: SIAM Journal on Mathematics of Data Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2001.07523
Artificial neural networks and deep learning (68T07) Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis (42C05) Numerical interpolation (65D05) Rate of convergence, degree of approximation (41A25) Algorithms for approximation of functions (65D15) Complexity and performance of numerical algorithms (65Y20) Approximation by arbitrary nonlinear expressions; widths and entropy (41A46) Sampling theory in information and communication theory (94A20)
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Uses Software
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