Who invented deep residual learning?
NeutralTechnology
The discussion around the invention of deep residual learning has sparked interest in the AI community. This innovative approach has significantly impacted how neural networks are designed, allowing for deeper architectures without the common pitfalls of vanishing gradients. Understanding its origins and implications is crucial for both researchers and practitioners in the field, as it continues to shape advancements in machine learning.
— Curated by the World Pulse Now AI Editorial System