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Approximating smooth functions by deep neural networks with sigmoid
  activation function

Approximating smooth functions by deep neural networks with sigmoid activation function

8 October 2020
S. Langer
ArXivPDFHTML

Papers citing "Approximating smooth functions by deep neural networks with sigmoid activation function"

5 / 5 papers shown
Title
Statistically guided deep learning
Statistically guided deep learning
Michael Kohler
A. Krzyżak
ODL
BDL
74
0
0
11 Apr 2025
Fitted Value Iteration Methods for Bicausal Optimal Transport
Fitted Value Iteration Methods for Bicausal Optimal Transport
Erhan Bayraktar
Bingyan Han
OT
11
6
0
22 Jun 2023
Smooth Mathematical Function from Compact Neural Networks
Smooth Mathematical Function from Compact Neural Networks
I. K. Hong
21
0
0
31 Dec 2022
Analysis of the rate of convergence of an over-parametrized deep neural
  network estimate learned by gradient descent
Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent
Michael Kohler
A. Krzyżak
32
10
0
04 Oct 2022
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
Selina Drews
Michael Kohler
25
13
0
30 Aug 2022
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