Comparison study on convolution neural network (CNN) techniques for image classification / Siti Maisarah Zainorzuli ...[et al.]
Deep Learning is an Artificial Intelligence (AI) function which can imitate the human brain to process data and deciding. It has networks that able to learn the unsupervised data that unlabeled or unstructured. It also identified as Deep Neural Network or Deep Neural Learning. Convolutional Neural N...
Saved in:
Main Authors: | Zainorzuli, Siti Maisarah, Che Abdullah, Syahrul Afzal, Abidin, Husna Zainol, Ahmat Ruslan, Fazlina |
---|---|
Format: | Article |
Language: | English |
Published: |
UiTM Press
2022
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/63165/1/63165.pdf https://doi.org/10.24191/jeesr.v20i1.002 https://ir.uitm.edu.my/id/eprint/63165/ https://jeesr.uitm.edu.my/v1/ https://doi.org/10.24191/jeesr.v20i1.002 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Convolutional Neural Network approach for different leaf classification
by: Ahmad Nazri, Ali, et al.
Published: (2023) -
Classification of nutrient deficiency in lettuce using Convolutional Neural Network (CNN) / Mahirah Mazlan
by: Mazlan, Mahirah
Published: (2024) -
Preliminary study of pneumonia symptoms detection method using cellular neural network
by: Azian Azamimi, Abdullah, et al.
Published: (2011) -
Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin
by: Kamallul Ariffin, Faiznur
Published: (2024) -
Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar
by: Azahar, Nur Adriana Qaisara
Published: (2024)