Towards interpretable-by-design deep learning algorithms

Plamen Angelov, Dmitry Kangin, Ziyang Zhang

The proposed framework named IDEAL (Interpretable-by-design DEep learning ALgorithms) recasts the standard supervised classification problem into a function of similarity to a set…