Design Patterns for Resource-Constrained Automated Deep-Learning Methods
We present an extensive evaluation of a wide variety of promising design patterns for automated deep-learning (AutoDL) methods, organized according to the problem categories of the 2019 AutoDL challenges, which set the task of optimizing both model accuracy and search efficiency under tight time and...
Main Authors: | Lukas Tuggener, Mohammadreza Amirian, Fernando Benites, Pius von Däniken, Prakhar Gupta, Frank-Peter Schilling, Thilo Stadelmann |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
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Series: | AI |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-2688/1/4/31 |
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