Please use this identifier to cite or link to this item: https://repositori.uma.ac.id/handle/123456789/28108
Title: Pengenalan Bahasa Isyarat Tangan Menggunakan Arsitektur Googlenet
Other Titles: Hand Sign Language Recognition Using Googlenet Architecture
Authors: Sihombing, Jhon David
metadata.dc.contributor.advisor: Muhathir
Keywords: bahasa isyarat tangan;sign language;googlenet;optimizer;klasifikasi;cnn
Issue Date: 11-Mar-2025
Publisher: Universitas Medan Area
Series/Report no.: NPM;198160019
Abstract: Dalam beberapa tahun erakhir, penggunaan model pembelajaran mendalam khususnya convolutional neural network, telah menjadi pendekatan dominan dalam tugas klasifikasi citra In recent years, the use of deep learning models, particularly convolutional neural networks, has become the dominant approach in image classification tasks.
Description: 76 Halaman
URI: https://repositori.uma.ac.id/handle/123456789/28108
Appears in Collections:SP - Informatic Engineering

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