Deep Learning's Adolescent Growing Pains: A Call for Theoretical Foundations
Analysis
The article highlights the ad-hoc nature of current deep learning practices, suggesting a need for more rigorous theoretical underpinnings. This perspective is crucial for guiding future research and preventing stagnation in the field. The comparison to other maturing fields provides a valuable historical context.
Key Takeaways
- •Deep learning is a relatively young field.
- •Current practices may be ad-hoc.
- •A more robust theoretical foundation is needed.
Reference
“It’s often the case that young fields start in a very ad-hoc manner.”