Comparative Study of Surrogate Techniques for CNN Hyperparameter Optimization

• Main Authors: Mohd Aszemi, Nurshazlyn, M. Zakaria, Nordin, Paneer Selvam, Dhanapal Durai Dominic
• Format: Book Section
• Language: English
• Published: Computing & Intelligent Systems, SCRS 2022
• Subjects: T Technology (General)
• Online Access: http://utpedia.utp.edu.my/id/eprint/24082/1/Comparative%20Study%20of%20Surrogate%20Techniques%20for%20CNN%20Hyperparameter%20Optimization.pdf; https://doi.org/10.52458/978-81-95502-00-4-48; http://utpedia.utp.edu.my/id/eprint/24082/; https://www.publications.scrs.in/chapter/978-81-95502-00-4/48; https://doi.org/10.52458/978-81-95502-00-4-48
• Institution: Universiti Teknologi Petronas

Optimizing hyper parameters in Convolutional Neural networks is a tedious process for many researchers and practitioners. It requires a high degree of expertise or experience to optimise the hyper parameters, and manual optimisation is likely to be biased. To date, methods or approaches to automate...