Google AI Introduces 'StylEx': A New Approach For A Visual Explanation Of Classifiers

Neural networks are capable of completing a wide range of tasks. Understanding how they arrive at their decisions, on the other hand, is frequently a mystery that goes unexplored. Explaining a neural model's decision process could have a significant social impact in domains where human oversight is crucial, like medical image processing and autonomous driving. These revelations could be instrumental in advising healthcare practitioners and possibly enhancing scientific breakthroughs. For a visual explanation of classifiers, there have been approaches such as attention maps.