COMPARATIVE STUDY OF SURROGATE TECHNIQUES FOR HYPERPARAMETER OPTIMIZATION IN CONVOLUTIONAL NEURAL NETWORK

Optimizing hyperparameters in CNN is tedious for many researchers and practitioners. it requires a high degree of expertise or a lot of experience to optimize the hyperparameter and such manual optimization is likely to be biased. Hyperparameters in deep learning can be divided into two types which...

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Bibliographic Details
Main Author: MOHD ASZEMI, NURSHAZLYN
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/24632/1/NurshazlynMohdAszemi_17007352.pdf
http://utpedia.utp.edu.my/id/eprint/24632/
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Institution: Universiti Teknologi Petronas
Language: English

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