Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane

no code implementations • ECCV 2018 • Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng

Inspired by the pioneering work of information bottleneck principle for Deep Neural Networks (DNNs) analysis, we design an information plane based framework to evaluate the capability of DNNs for image classification tasks, which not only helps understand the capability of DNNs, but also helps us choose a neural network which leads to higher classification accuracy more efficiently.

General Classification Image Classification +1