One of the main impediments to the wide adoption of machine learning, especially deep learning, in critical (and commercial) applications is the apparent lack of trust accorded to these machine learning applications. This distrust mainly stems from the inability to reason about the outputs spit out by these models. This phenomenon is not just relegated to those who are outside the machine learning domain either. Even seasoned machine learning practitioners are flummoxed by the apparent failin...
