Enhancing Explainability of Neural Networks through Architecture Constraints

Zebin Yang, Aijun Zhang, Agus Sudjianto

Prediction accuracy and model explainability are the two most important objectives when developing machine learning algorithms to solve real-world problems. The neural networks are…