Generalization and Expressivity for Deep Nets
Generalization and Expressivity for Deep Nets
Along with the rapid development of deep learning in practice, theoretical explanations for its success become urgent. Generalization and expressivity are two widely used measurements to quantify theoretical behaviors of deep nets. The expressivity focuses on finding functions expressible by deep nets but cannot be approximated by shallow nets with …