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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Editorial

Advances and Challenges of Deep Learning

Author(s): Shui-Hua Wang and Yu-Dong Zhang*

Volume 17, Issue 4, 2023

Published on: 23 August, 2022

Article ID: e300522205402 Pages: 2

DOI: 10.2174/1872212116666220530125230

Abstract

This editorial presents the recent advances and challenges of deep learning. We reviewed four main challenges: heterogeneity, copious size, reproducibility crisis, and explainability. Finally, we present the prospect of deep learning in industrial applications.

Keywords: Artificial intelligence, machine learning, Deep learning

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