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Image of PERANCANGAN DAN IMPLEMENTASI MODEL REKOGNISI WAJAH MANUSIA SEDERHANA MENGGUNAKAN MOBILENETV2 DAN SHUFFLENETV2

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PERANCANGAN DAN IMPLEMENTASI MODEL REKOGNISI WAJAH MANUSIA SEDERHANA MENGGUNAKAN MOBILENETV2 DAN SHUFFLENETV2

Prayuda, Muhammad Syafiq - Personal Name;

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Penilaian anda saat ini :  

Face recognition is one of the biometric recognition techniques. The technique of recognizing someone is done by utilizing a facial image which is then measured using mathematical calculations so that it can finally be recognized by the system. The face is also something that is definitely owned by humans and is also a factor to distinguish between humans from one another. Some systems use faces as objects for facial recognition systems and others. This study focuses on simple human face recognition using the MobileNetV2 and ShuffleNetV2 methods. Experiments were carried out with several different parameters ranging from Batch Size 16,32, and 64. In addition, several learning rates were used from 10e-5 to 10e-3. results Based on the results obtained from the tests that have been carried out, the ShuffleNetV2 method obtains results and accuracy of 86.90% and loss of 0.43%. and for GPU performance, the average performance when tuning is 20%


Availability
Inventory Code Barcode Call Number Location Status
2207000142T62242T622422022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T622422022
Publisher
Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer., 2022
Collation
xiv, 46 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
006.696 07
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Sistem Komputer
Video Digital
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  • PERANCANGAN DAN IMPLEMENTASI MODEL REKOGNISI WAJAH MANUSIA SEDERHANA MENGGUNAKAN MOBILENETV2 DAN SHUFFLENETV2
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