Design Patterns for Resource-Constrained Automated Deep-Learning Methods

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...

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Bibliographic Details
Main Authors: Lukas Tuggener, Mohammadreza Amirian, Fernando Benites, Pius von Däniken, Prakhar Gupta, Frank-Peter Schilling, Thilo Stadelmann
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:AI
Subjects:
automated machine learning
architecture design
computer vision
audio processing
natural language processing
weakly supervised learning
Online Access:https://www.mdpi.com/2673-2688/1/4/31

Internet

https://www.mdpi.com/2673-2688/1/4/31

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