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Black Magic in Deep Learning: How Human Skill Impacts Network Training

Black Magic in Deep Learning: How Human Skill Impacts Network Training

13 August 2020
Kanav Anand
Ziqi Wang
Marco Loog
Jan van Gemert
    HAI
ArXivPDFHTML

Papers citing "Black Magic in Deep Learning: How Human Skill Impacts Network Training"

4 / 4 papers shown
Title
Explainable Artificial Intelligence: Precepts, Methods, and
  Opportunities for Research in Construction
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction
Peter E. D. Love
Weili Fang
J. Matthews
Stuart Porter
Hanbin Luo
L. Ding
XAI
34
7
0
12 Nov 2022
Explainable Artificial Intelligence in Construction: The Content,
  Context, Process, Outcome Evaluation Framework
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework
Peter E. D. Love
J. Matthews
Weili Fang
Stuart Porter
Hanbin Luo
L. Ding
43
2
0
12 Nov 2022
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
220
1,023
0
26 Mar 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
288
5,339
0
05 Nov 2016
1