什么是深度学习?它如何帮助应对COVID-19大流行?

E. Kartal, O. Schwartz
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引用次数: 0

摘要

自2019冠状病毒病大流行开始以来,研究人员一直试图通过国际合作和跨学科研究寻找解决方案。本章旨在介绍深度学习如何用于COVID-19大流行。在这个范围内,本章从定义、关键概念、流行的网络类型和应用领域等方面涵盖了深度学习的基础知识。然后总结了最近将深度学习模型用于COVID-19的研究。作者认为,这一章对于想要研究深度学习的研究人员来说是一个良好的开端。此外,本章的文献综述部分是在考虑COVID-19大流行的情况下编写的,预计将在大流行过程中阐明广泛的健康研究,并为不同部门遇到的类似问题提供更好的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Is Deep Learning and How Has It Helped the COVID-19 Pandemic?
Since the beginning of the COVID-19 pandemic, researchers have been trying to find solutions through international collaborations and interdisciplinary studies. This chapter aims to present how deep learning is used for the COVID-19 pandemic. Within this scope, this chapter covers the fundamentals of deep learning in terms of definitions, key concepts, popular network types, and application areas. Then it gives a summary of the most recent studies in which deep learning models are used for COVID-19. The authors believe this chapter is a good start for researchers who want to study deep learning. In addition, the literature review section of this chapter, which was prepared by considering the COVID-19 pandemic, is expected to shed light on a broad range of health studies within the pandemic process and to provide better solutions to similar problems encountered in different sectors.
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