Understanding Scholarly Neural Network System Diagrams Through Application of VisDNA

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We utilise VisDNA as a tool for understanding neural network system architecture diagrams. Through examples from scholarly proceedings, we find that the application of the framework to this ecological and complex domain is effective for reflecting on these diagrams. We argue for additional vocabulary to describe semiotic variability and internal inconsistency or misuse of visual encoding principles in diagrams. Further, for application to system diagrams, we propose the addition of \Grouping by Object" as a new visual encoding principle, and \Emphasising" as a new visual encoding type.

Bibliographical metadata

Original languageEnglish
Title of host publicationDIAGRAMS 2021:12th International Conference on the Theory and Application of Diagrams
Publication statusAccepted/In press - 6 Jul 2021
EventDIAGRAMS 2021: 12th International Conference on the Theory and Application of Diagrams - Virtual Event
Event duration: 28 Sep 202130 Sep 2021

Conference

ConferenceDIAGRAMS 2021
Period28/09/2130/09/21