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On the rate of convergence of fully connected very deep neural network
  regression estimates

On the rate of convergence of fully connected very deep neural network regression estimates

29 August 2019
Michael Kohler
S. Langer
ArXivPDFHTML

Papers citing "On the rate of convergence of fully connected very deep neural network regression estimates"

7 / 7 papers shown
Title
Optimal approximation of continuous functions by very deep ReLU networks
Optimal approximation of continuous functions by very deep ReLU networks
Dmitry Yarotsky
176
293
0
10 Feb 2018
Nonparametric regression using deep neural networks with ReLU activation
  function
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
220
810
0
22 Aug 2017
Error bounds for approximations with deep ReLU networks
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
193
1,227
0
03 Oct 2016
Deep vs. shallow networks : An approximation theory perspective
Deep vs. shallow networks : An approximation theory perspective
H. Mhaskar
T. Poggio
165
341
0
10 Aug 2016
The Power of Depth for Feedforward Neural Networks
The Power of Depth for Feedforward Neural Networks
Ronen Eldan
Ohad Shamir
213
732
0
12 Dec 2015
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
240
16,348
0
30 Apr 2014
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
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