Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition

The training of deep convolutional neural network (CNN) for classification purposes is critically dependent on the expertise of hyper-parameters tuning. This study aims to minimise the user variability in training CNN by automatically searching and optimising the CNN architecture, particularly in th...

Full description

Bibliographic Details

Main Authors:	Soon, Foo Chong, Khaw, Hui Ying, Chuah, Joon Huang, Kanesan, Jeevan
Format:	Article
Published:	Institution of Engineering and Technology 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/20619/ https://doi.org/10.1049/iet-its.2018.5127
Tags:	Add Tag No Tags, Be the first to tag this record!