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Image of IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK UNTUK MEMPROSES FACE RECOGNIZER PADA ROBOT MOBILE
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Skripsi

IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK UNTUK MEMPROSES FACE RECOGNIZER PADA ROBOT MOBILE

Athalaza, Muhammad Nawwar - Personal Name;

Face Recognizer is branch of computer vision that has a sistem for identifying faces based on facial feature. Each person have a difference of shape and characteristic so as need a sistem which can recognize with high accuracy. One of the uses of the facial recognition system can applied on robot. This sistem can be using for absences dan follower robot. Face recognition system need a computing device and microprocessor is useally to using for that. Microprocessor can be used for brain of robot to control robot. As microprocessor, microcontroller useally used for actuator to moving robot based instruction from microprocessor. System need a method for process data set. So many method can be implement for face recognizer, one of the method is Convolutional Neural Network. This method is often to used for perform computations with using image data as a dataset.


Availability
#
Central Library (Referens) T408712021
T40871
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T408712021
Publisher
Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2021
Collation
xv, 56 hlm,: ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.707
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Data Sistem Komputer
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related
TitleEditionLanguage
PENERAPAN DEEP LEARNING UNTUK KLASIFIKASI PENYAKIT MATA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN): ARSITEKTUR DENSENET 121 DAN XCEPTIONid
PENGENALAN EKSPRESI WAJAH MANUSIA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORKid
PENERAPAN DEEP LEARNING PADA IMPUTASI DATA TANDA VITAL UNTUK MENINGKATKAN AKURASI PREDIKSI HENTI JANTUNG PADA PASIEN UNIT PERAWATAN INTENSIFid
IMPLEMENTASI KOMBINASI ARSITEKTUR VGG DAN SQUEEZENET UNTUK KLASIFIKASI PENYAKIT PADA MATAid
DETEKSI DEFECT SEPTUM JANTUNG JANIN BERBASIS CITRA 2 DIMENSI MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKSid
PENGARUH BOBOT PADA DEEP CONVOLUTIONAL NEURAL NETWORK DENGAN SUPERVISED LEARNING UNTUK MENYELESAIKAN GAME 2048id
File Attachment
  • IMPLEMENTASI METODE CONVOLUTIONAL NEURAL NETWORK UNTUK MEMPROSES FACE RECOGNIZER PADA ROBOT MOBILE
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