Generalization in Deep Learning

Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio

This paper provides theoretical insights into why and how deep learning can generalize well, despite its large capacity, complexity, possible algorithmic instability, nonrobustness…