Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization

no code implementations • 1 Apr 2020 • Zhi Han, Siquan Yu, Shao-Bo Lin, Ding-Xuan Zhou

One of the most important challenge of deep learning is to figure out relations between a feature and the depth of deep neural networks (deep nets for short) to reflect the necessity of depth.

Feature Engineering Ingenuity +1