Simon Prince

Simon Prince, a Professor at the University of Bath and author of 'Understanding Deep Learning', dives into the fascinating intricacies of deep learning. He discusses the surprising efficiency of deep learning models and the role of activation functions and architecture in their success. Notably, he challenges misconceptions surrounding overparameterization and the manifold hypothesis. The conversation also touches on ethical considerations in AI, the complexities of human cognition versus AI behavior, and the transformative impact of AlexNet on computer vision.