A task-and-technique centered survey on visual analytics for deep learning model engineering.

•We survey recent works in visual analytics for deep learning engineering.•We propose a task-and-technique taxonomy to classify such approaches.•Our contribution surveys 40 papers covering multiple tasks and architectures.•We aim to offer a guide to both visual analytics and machine learning experts.•Finally, we outline challenges and topics for future research in the field.