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Solution space and storage capacity of fully connected two-layer neural
  networks with generic activation functions

Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions

20 April 2024
Sota Nishiyama
Masayuki Ohzeki
ArXivPDFHTML

Papers citing "Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions"

3 / 3 papers shown
Title
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
B. Annesi
Enrico M. Malatesta
Francesco Zamponi
35
2
0
09 Oct 2024
Hidden Unit Specialization in Layered Neural Networks: ReLU vs.
  Sigmoidal Activation
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation
Elisa Oostwal
Michiel Straat
Michael Biehl
MLT
56
54
0
16 Oct 2019
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
1