Revisiting Geometric Deep Learning: A 2018 Perspective
Analysis
This article, based on a Hacker News discussion of a 2018 paper, offers a retrospective view on the geometric understanding of deep learning. It's likely discussing the progress and impact of geometric deep learning concepts and their relevance in that time frame.
Key Takeaways
- •Highlights the importance of geometric understanding in the early days of deep learning.
- •Potentially discusses the use of geometry for feature extraction and model design.
- •Offers insights into challenges and opportunities in the field circa 2018.
Reference
“The context mentions a Hacker News discussion, indicating a community perspective.”