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...
Saved in:
| Main Author: | |
|---|---|
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!