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Dropout is a special case of the stochastic delta rule: faster and more
  accurate deep learning
v1v2 (latest)

Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning

10 August 2018
Noah Frazier-Logue
S. Hanson
ArXiv (abs)PDFHTML

Papers citing "Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning"

4 / 4 papers shown
Title
Annotated History of Modern AI and Deep Learning
Annotated History of Modern AI and Deep Learning
Juergen Schmidhuber
MLAUAI4TSAI4CE
63
24
0
21 Dec 2022
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie
Imanol Schlag
Róbert Csordás
Jürgen Schmidhuber
118
64
0
11 Jun 2021
Julia Language in Machine Learning: Algorithms, Applications, and Open
  Issues
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
Kaifeng Gao
Gang Mei
F. Piccialli
S. Cuomo
Jingzhi Tu
Zenan Huo
52
56
0
23 Mar 2020
An ETF view of Dropout regularization
An ETF view of Dropout regularization
Dor Bank
Raja Giryes
104
4
0
14 Oct 2018
1