Advances and Challenges of Deep Learning

Shuihua Wang‎, Yudong Zhang · Recent Patents on Engineering · 2022

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.

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