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Exponential Convergence of the Deep Neural Network Approximation for
  Analytic Functions

Exponential Convergence of the Deep Neural Network Approximation for Analytic Functions

1 July 2018
Weinan E
Qingcan Wang
ArXivPDFHTML

Papers citing "Exponential Convergence of the Deep Neural Network Approximation for Analytic Functions"

6 / 6 papers shown
Title
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
Zhiwei Bai
Yaoyu Zhang
Z. Xu
Yaoyu Zhang
54
6
0
26 May 2022
The Expressive Power of Neural Networks: A View from the Width
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
65
886
0
08 Sep 2017
Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of
  Dimensionality: a Review
Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review
T. Poggio
H. Mhaskar
Lorenzo Rosasco
Brando Miranda
Q. Liao
66
575
0
02 Nov 2016
Why Deep Neural Networks for Function Approximation?
Why Deep Neural Networks for Function Approximation?
Shiyu Liang
R. Srikant
59
383
0
13 Oct 2016
Error bounds for approximations with deep ReLU networks
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
135
1,226
0
03 Oct 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
290
605
0
14 Feb 2016
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