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Stability for the Training of Deep Neural Networks and Other Classifiers
v1v2v3 (latest)

Stability for the Training of Deep Neural Networks and Other Classifiers

Mathematical Models and Methods in Applied Sciences (M3AS), 2020
10 February 2020
L. Berlyand
P. Jabin
C. A. Safsten
ArXiv (abs)PDFHTML

Papers citing "Stability for the Training of Deep Neural Networks and Other Classifiers"

4 / 4 papers shown
Geometrical structures of digital fluctuations in parameter space of
  neural networks trained with adaptive momentum optimization
Geometrical structures of digital fluctuations in parameter space of neural networks trained with adaptive momentum optimization
Igor V. Netay
258
1
0
22 Aug 2024
Stability of Accuracy for the Training of DNNs Via the Uniform Doubling
  Condition
Stability of Accuracy for the Training of DNNs Via the Uniform Doubling ConditionAnnals of Mathematics and Artificial Intelligence (AMAI), 2022
Yitzchak Shmalo
306
1
0
16 Oct 2022
A novel multi-scale loss function for classification problems in machine
  learning
A novel multi-scale loss function for classification problems in machine learningJournal of Computational Physics (JCP), 2021
L. Berlyand
Robert Creese
P. Jabin
254
4
0
04 Jun 2021
A priori estimates for classification problems using neural networks
A priori estimates for classification problems using neural networks
E. Weinan
Stephan Wojtowytsch
167
8
0
28 Sep 2020
1
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