Before revision:  Through smooth transitions across levels of abstraction, our tool enables users to inspect the interplay between low-level operations (e.g., mathematical computations) and high-level outcomes (e. g., class predictions). To better understand our tool's benefits, we conducted a qualitative user study , which shows that CNN Explainer can help users more easily understand the inner workings of CNNs, and is engaging and enjoyable to use.
After revision:  Through smooth transitions across levels of abstraction, our tool enables users to inspect the interplay between low-level operations (e.g., mathematical computations) and high-level model structures. A qualitative user study , which shows that CNN Explainer can help users more easily understand the inner workings of CNNs, and is engaging and enjoyable to use.