ConceptioArchiveUranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatikametadata only

Perbandingan Akurasi Model ResNet50 dan VGG16 dalam Mengklasifikasi Penyakit Cacar Menggunakan Metode Convolutional Neural Network

Isvine Zahroya Jazmine Marzuki Fahd et al.
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika · Papers
Open Source ↗
accuracycnn
artificial intelligence, cnn, resnet50, vgg16, accuracy
This document is indexed with metadata only — full text is not available in the archive for this record. Open the official source ↗
Record · ID 1023774
Retrieved via Conceptio — every document is proof-bundled with source, license, and retrieval metadata.