VGG16 Transfer Learning Architecture for Salak Fruit Quality Classification

VGG16 Transfer Learning Architecture for Salak Fruit Quality Classification

Purpose: This study aims to differentiate the quality of salak fruit with machine learning. Salak is classified into two classes, good and bad class. Design/methodology/approach: The algorithm used in this research is transfer learning with the VGG16 architecture. Data set used in this research cons...

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Bibliographic Details
Main Authors: Rismiyati Rismiyati, Ardytha Luthfiarta
Format: Article
Language:Indonesian
Published: Universitas Pembangunan Nasional "Veteran" Yogyakarta 2021-03-01
Series:Telematika
Subjects:
salak
transfer learning
vgg16
deep learning
Online Access:http://jurnal.upnyk.ac.id/index.php/telematika/article/view/4025

Internet

http://jurnal.upnyk.ac.id/index.php/telematika/article/view/4025

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