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| Format: | Recurso digital |
| Language: | English |
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2024
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| Online Access: | https://doi.org/10.5281/zenodo.10671673 |
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| _version_ | 1866902101769060352 |
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| author | Matuszewski, Michał Prystupiuk, Adam Opala, Andrzej |
| author_facet | Matuszewski, Michał Prystupiuk, Adam Opala, Andrzej |
| contents | <p>Dataset and codes required to reproduce the noise analysis of complex- & real-valued neural networks, as described in the article "Role of all-optical neural-networks" (https://doi.org/10.1103/PhysRevApplied.21.014028)</p> <p>Codes in python require the use of cvnn library published by J. Agustin Barrachina at <a title="Opens in new tab" href="https://github.com/NEGU93/cvnn/tree/v2.0" target="_blank" rel="noopener">https://github.com/NEGU93/cvnn/tree/v2.0 </a>(URL)</p> <p>We acknowledge support from the National Science Center, Poland under Grants No. 2019/35/N/ST3/01379, No. 2020/37/B/ST3/01657, and No. 2021/43/B/ST3/00752, and the Foundation for Polish Science (FNP).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_10671673 |
| institution | Zenodo |
| language | eng |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dataset for the "The role of all-optical neural networks" Article Matuszewski, Michał Prystupiuk, Adam Opala, Andrzej <p>Dataset and codes required to reproduce the noise analysis of complex- & real-valued neural networks, as described in the article "Role of all-optical neural-networks" (https://doi.org/10.1103/PhysRevApplied.21.014028)</p> <p>Codes in python require the use of cvnn library published by J. Agustin Barrachina at <a title="Opens in new tab" href="https://github.com/NEGU93/cvnn/tree/v2.0" target="_blank" rel="noopener">https://github.com/NEGU93/cvnn/tree/v2.0 </a>(URL)</p> <p>We acknowledge support from the National Science Center, Poland under Grants No. 2019/35/N/ST3/01379, No. 2020/37/B/ST3/01657, and No. 2021/43/B/ST3/00752, and the Foundation for Polish Science (FNP).</p> |
| title | Dataset for the "The role of all-optical neural networks" Article |
| url | https://doi.org/10.5281/zenodo.10671673 |