KHOLILULLAH, MUHAMMAD (2021) KLASIFIKASI KUE TRADISIONAL INDONESIA MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORKS (CNN). Diploma thesis, UNIVERSITAS NURUL JADID.
![[thumbnail of skripsi-17010207 -cover-1-5.pdf]](https://repository.unuja.ac.id/style/images/fileicons/text.png) |
Text
skripsi-17010207 -cover-1-5.pdf Download (343kB) |
|
Text
skripsi-17010207 -cover-6.pdf Download (45kB) |
|
Text
skripsi-17010207 -cover-7-13.pdf Download (326kB) |
|
Text
skripsi-17010207 -bab1.pdf Restricted to Repository staff only Download (159kB) |
|
Text
skripsi-17010207 -bab2.pdf Restricted to Repository staff only Download (922kB) |
|
Text
skripsi-17010207 -bab3.pdf Restricted to Repository staff only Download (313kB) |
|
Text
skripsi-17010207 -bab4.pdf Restricted to Repository staff only Download (586kB) |
|
Text
skripsi-17010207 -bab5.pdf Restricted to Repository staff only Download (311kB) |
|
Text
skripsi-17010207 -dapus.pdf Restricted to Repository staff only Download (155kB) |
|
Text
skripsi-17010207-lampiran.pdf Restricted to Repository staff only Download (1MB) |
| Item Type: | Thesis (Diploma) |
|---|---|
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik > S1 Teknik Informatika |
| Depositing User: | Users 16 not found. |
| Date Deposited: | 27 Nov 2023 07:30 |
| Last Modified: | 09 Feb 2026 06:38 |
| URI: | https://repository.unuja.ac.id/id/eprint/1712 |
Actions (login required)
 |
View Item |