Summary
This project will study deep learning, a class of machine learning algorithms based on deep neural networks (DNNs) that are becoming increasingly popular due to their successful applications in many areas, such as healthcare, transportation, and entertainment. DNN programs, like any other software, may contain faults that might undermine their safety and reliability in mission-critical applications. Software engineering research has produced a rich body of software fault localization techniques; however, they are not immediately applicable to DNNs. This is mainly because traditional software a
