Tea clone classification using deep CNN with residual and densely connections
| Main Authors: | Ramdan, Ade, Zilvan, Vicky, Suryawati, Endang, Pardede, Hilman F, Rahadi, Vitria Puspitasari |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | ind |
| Terbitan: |
Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro
, 2020
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| Subjects: | |
| Online Access: |
https://jtsiskom.undip.ac.id/article/view/13768 https://jtsiskom.undip.ac.id/article/view/13768/12635 |
Internet
https://jtsiskom.undip.ac.id/article/view/13768https://jtsiskom.undip.ac.id/article/view/13768/12635
Lokasi
| Koleksi | Jurnal Teknologi dan Sistem Komputer |
|---|---|
| Gedung | Perpustakaan Universitas Diponegoro |
| Institusi | Universitas Diponegoro |
| Kota | SEMARANG |
| Provinsi | JAWA TENGAH |
| Kontak | Butuh informasi lebih lanjut? Hubungi pustakawan institusi ini. |