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On the universal consistency of an over-parametrized deep neural network
  estimate learned by gradient descent

On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent

30 August 2022
Selina Drews
Michael Kohler
ArXivPDFHTML

Papers citing "On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent"

2 / 2 papers shown
Title
Approximating smooth functions by deep neural networks with sigmoid
  activation function
Approximating smooth functions by deep neural networks with sigmoid activation function
S. Langer
26
67
0
08 Oct 2020
Nonparametric regression using deep neural networks with ReLU activation
  function
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
140
805
0
22 Aug 2017
1