Towards combining deep learning, verification, and scenario-based programming

Abstract

Deep learning (DL) [4] is dramatically changing the world of software. The rapid improvement in deep neural network (DNN) technology now enables engineers to train models that achieve superhuman results, often surpassing algorithms that have been carefully hand-crafted by domain experts [19, 20]. There is even an intensifying trend of incorporating DNNs in safety-critical systems, e.g. as controllers for autonomous vehicles and drones [1, 12].