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

• 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

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...