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What is Deep Learning in Vision

Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics
Inspired by the brain and mammalian visual system, learning to process visual information hierarchically in multiple stages, starting from simple features orientations to intermediate features such as textures and shapes, up to recognizing objects.
Published in Chapter:
What Is Deep Learning and How Has It Helped the COVID-19 Pandemic?
Elif Kartal (Istanbul University, Turkey) and Odelia Schwartz (University of Miami, USA)
DOI: 10.4018/978-1-7998-8674-7.ch018
Abstract
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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