On sharpness of an error bound for deep ReLU network approximation

Steffen Goebbels

doi:10.1007/s43670-022-00020-y

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On sharpness of an error bound for deep ReLU network approximation

Steffen Goebbels

Year: 2022 Journal: Sampling Theory Signal Processing and Data Analysis Vol: 20 (1) Publisher: Birkhäuser

DOI: 10.1007/s43670-022-00020-y

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Keywords:

Counterexample Modulus of continuity Lipschitz continuity Dimension (graph theory) Approximation error Mathematics Upper and lower bounds Convergence (economics) Rate of convergence Artificial neural network Infinity Order (exchange) Class (philosophy) Applied mathematics Discrete mathematics Mathematical analysis Pure mathematics Computer science Type (biology) Artificial intelligence

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Stochastic Gradient Optimization Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

On sharpness of an error bound for deep ReLU network approximation

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