ResNet
Type: Product
As of November 2026, ResNet has been mentioned in one podcast episode on Dwarkesh Patel (Nov 2025).
ResNet (Residual Neural Network) is a deep learning architecture that introduced residual connections, enabling the training of very deep networks.
| Mentioned in | 1 episode on 1 podcast (as of November 2026) |
|---|---|
| First heard | Nov 2025 on Dwarkesh Patel |
| Company | Microsoft Research (original research) |
| Category | software |
| Maker | Microsoft Research (original research) |
Who talks about ResNet on podcasts?
Dwarkesh Patel brought up ResNet; the most recent mention was Nov 2025 on Dwarkesh Patel.
- Ilya Sutskever – We're moving from the age of scaling to the age of research on Dwarkesh Patel (Nov 2025) — Dwarkesh Patel
What is ResNet mentioned alongside?
ResNet is most often mentioned alongside Transformer, LLM-as-a-Judge and value function.
Mentioned together: Transformer, LLM-as-a-Judge, value function, generalization, sample efficiency, continual learning, Anthropic, Meta, Demis Hassabis, Neuralink