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.
| Original language | English |
|---|---|
| Article number | e300522205402 |
| Journal | Recent Patents on Engineering |
| Volume | 17 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Jul 2023 |
| Externally published | Yes |
Keywords
- Artificial intelligence
- COVID-19 diagnosis
- deep learning
- deep mind ANNs
- machine learning