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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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
198160019 - Jhon David Sihombing - Chapter IV.pdf Restricted Access | Chapter IV | 1.64 MB | Adobe PDF | View/Open Request a copy |
198160019 - Jhon David Sihombing - Fulltext.pdf | Cover, Abstract, Chapter I, II, III, V, Bibliography | 2.84 MB | Adobe PDF | View/Open |
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