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Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification

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Bibliographic Details
Published in:Jurnal Masyarakat Informatika
Format: Online Article RSS Article
Published: 2025
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container_title Jurnal Masyarakat Informatika
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:6822
institution FRELIP
journal_source_facet Jurnal Masyarakat Informatika
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
subject_facet — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
title Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification
title_auth Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification
title_full Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification
title_fullStr Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification
title_full_unstemmed Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification
title_short Optimizing VGG16 Architecture with Bayesian Hyperparameter Tuning for Tomato Leaf Disease Classification
title_sort optimizing vgg16 architecture with bayesian hyperparameter tuning for tomato leaf disease classification
topic — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
url https://ejournal.undip.ac.id/index.php/jmasif/article/view/73168