The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow
Abstract
We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow machine intelligence platform. This tool helps users understand complex machine learning architectures by visualizing their underlying dataflow graphs. The tool works by applying a series of graph transformations that enable standard layout techniques to produce a legible interactive diagram. To declutter the graph, we decouple non-critical nodes from the layout. To provide an overview, we build a clustered graph using the hierarchical structure annotated in the source code. To support exploration of nested structure on demand, we perform edge bundling to enable stable and responsive cluster expansion. Finally, we detect and highlight repeated structures to emphasize a model's modular composition. To demonstrate the utility of the visualizer, we describe example usage scenarios and report user feedback. Overall, users find the visualizer useful for understanding, debugging, and sharing the structures of their models.
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Evaluating the quality of machine learning explanations: a survey on methods and metrics
Zhou, J., Gandomi, A. H., Chen, F., & Holzinger, A. (2021) · Electronics · doi:10.3390/electronics10050593 · Cited by 606
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Hohman, F., Kahng, M., Pienta, R., & Chau, D. H. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2843369 · Cited by 582
Kwon, B. C., Choi, M.-J., Kim, J. T., Choi, E., Kim, Y. B., Kwon, S., Sun, J., & Choo, J. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2865027 · Cited by 294
Metadata
- Authors
- Wongsuphasawat, K., Smilkov, D., Wexler, J., Wilson, J., Mane, D., Fritz, D., Krishnan, D., Viegas, F. B., & Wattenberg, M.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2018-01
- Volume
- 24
- Issue
- 1
- Pages
- 1-12
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2753713840
- Cited by
- 331
- References
- 39
- FWCI
- 17.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wongsuphasawat, K., Smilkov, D., Wexler, J., Wilson, J., Mane, D., Fritz, D., Krishnan, D., Viegas, F. B., & Wattenberg, M. (2018). Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/tvcg.2017.2744878
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