Interpreting Shared Deep Learning Models via Explicable Boundary Trees

Huijun Wu, Chen Wang, Jie Yin +2

Despite outperforming the human in many tasks, deep neural network models are also criticized for the lack of transparency and interpretability in decision making. The opaqueness r…