Xiao, Lechao

Disentangling Trainability and Generalization in Deep Neural Networks

2019 · arXiv (Cornell University)

A longstanding goal in the theory of deep learning is to characterize the conditions under which a given neural network architecture will be trainable, and if so, how well it might generalize to unseen data. …