Neural networks with ReLU powers need less depth

DOI10.1016/J.NEUNET.2023.12.027MaRDI QIDQ6535869

Jose Ernie C. Lope, Kurt Izak M. Cabanilla, Rhudaina Z. Mohammad

Publication date: 5 March 2024

Published in: Neural Networks (Search for Journal in Brave)

zbMATH Keywords

approximation spacesdeep neural networksReLU powers

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07)

Cites Work

• Title not available (Why is that?)
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• Multilayer feedforward networks are universal approximators
• Approximation spaces of deep neural networks
• Optimal approximation of piecewise smooth functions using deep ReLU neural networks
• Error bounds for approximations with deep ReLU networks
• On the successive supersymmetric rank-1 decomposition of higher-order supersymmetric tensors
• Tensor Analysis
• Approximation by superpositions of a sigmoidal function
• Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations

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