A comparison of deep networks with ReLU activation function and linear spline-type methods-Reference-Cited by-同舟云学术

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A comparison of deep networks with ReLU activation function and linear spline-type methods

Published:2019-02 Issue: Volume:110 Page:232-242
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Eckle Konstantin,Schmidt-Hieber Johannes

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference23 articles.

1. Multivariate Splines;Chui,1988

2. Data Compression, Spectral Methods, Fourier Analysis, Wavelets, and Applications. Vol. 2;Chui,2013

3. Limitations of the approximation capabilities of neural networks with one hidden layer;Chui;Advances in Computational Mathematics,1996

4. Box Splines;de Boor,1993

5. The power of depth for feedforward neural networks;Eldan,2016

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