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| <registrant>The Open Journal</registrant> | ||
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| <full_title>Journal of Open Source Software</full_title> | ||
| <abbrev_title>JOSS</abbrev_title> | ||
| <issn media_type="electronic">2475-9066</issn> | ||
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| <doi>10.21105/joss</doi> | ||
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| <year>2024</year> | ||
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| <title>VisualTorch: Streamlining Visualization for PyTorch | ||
| Neural Network Architectures</title> | ||
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| <given_name>Willy Fitra</given_name> | ||
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| <article_title>An empirical study of library usage and | ||
| dependency in deep learning frameworks</article_title> | ||
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| <doi>10.48550/arxiv.2211.15733</doi> | ||
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| <unstructured_citation>Aoun, M. R. E., Tidjon, L. N., | ||
| Rombaut, B., Khomh, F., & Hassan, A. E. (2022). An empirical study | ||
| of library usage and dependency in deep learning frameworks. | ||
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| <article_title>Visualkeras</article_title> | ||
| <author>Gavrikov</author> | ||
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| <cYear>2020</cYear> | ||
| <unstructured_citation>Gavrikov, P. (2020). Visualkeras. In | ||
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| M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., … Chintala, S. | ||
| (2019). PyTorch: An imperative style, high-performance deep learning | ||
| library. | ||
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| <doi>10.1109/MCSE.2007.55</doi> | ||
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| <unstructured_citation>Hunter, J. D. (2007). Matplotlib: A | ||
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| <journal_title>Proceedings of the IEEE</journal_title> | ||
| <issue>11</issue> | ||
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| <doi>10.1109/5.726791</doi> | ||
| <cYear>1998</cYear> | ||
| <unstructured_citation>Lecun, Y., Bottou, L., Bengio, Y., | ||
| & Haffner, P. (1998). Gradient-based learning applied to document | ||
| recognition. Proceedings of the IEEE, 86(11), 2278–2324. | ||
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