Kolmogorov Width Decay and Poor Approximators in Machine Learning: Shallow Neural Networks, Random Feature Models and Neural Tangent Kernels
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Publication:6341191
DOI10.1007/S40687-020-00233-4arXiv2005.10807MaRDI QIDQ6341191
E. Weinan, Stephan Wojtowytsch
Publication date: 21 May 2020
Artificial neural networks and deep learning (68T07) Abstract approximation theory (approximation in normed linear spaces and other abstract spaces) (41A65) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22) Banach spaces of continuous, differentiable or analytic functions (46E15) Approximation by other special function classes (41A30)
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