Repo Dosen ULM
The Effect of Batch Size and Epoch on Performance of ShuffleNet-CNN Architecture for Vegetation Density Classification (Corresponding Autor)
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| dc.contributor.author | Novitasari, Novitasari | |
| dc.date.accessioned | 2023-04-26T00:19:20Z | |
| dc.date.available | 2023-04-26T00:19:20Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Yuslena Sari, Yudi Firmana Arifin, Novitasari Novitasari, Mohammad Reza Faisal (2022). The Effect of Batch Size and Epoch on Performance of ShuffleNet-CNN Architecture for Vegetation Density Classification (Corresponding Autor). SIET '22: Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology | en_US |
| dc.identifier.other | https://doi.org/10.1145/3568231.3568239 | |
| dc.identifier.uri | https://repo-dosen.ulm.ac.id//handle/123456789/29566 | |
| dc.language.iso | en | en_US |
| dc.publisher | SIET '22: Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology | en_US |
| dc.subject | Corresponding Autor, ShuffleNet-CNN Architecture, Vegetation Density | en_US |
| dc.title | The Effect of Batch Size and Epoch on Performance of ShuffleNet-CNN Architecture for Vegetation Density Classification (Corresponding Autor) | en_US |
| dc.type | Other | en_US |
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