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Analysis of the rate of convergence of fully connected deep neural
  network regression estimates with smooth activation function

Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function

12 October 2020
S. Langer
ArXivPDFHTML

Papers citing "Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function"

3 / 3 papers shown
Title
The phase diagram of approximation rates for deep neural networks
The phase diagram of approximation rates for deep neural networks
Dmitry Yarotsky
Anton Zhevnerchuk
59
121
0
22 Jun 2019
Nonparametric regression using deep neural networks with ReLU activation
  function
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
216
810
0
22 Aug 2017
Rate-optimal estimation for a general class of nonparametric regression
  models with unknown link functions
Rate-optimal estimation for a general class of nonparametric regression models with unknown link functions
J. Horowitz
E. Mammen
127
81
0
20 Mar 2008
1