Multi objective hyperparameter tuning via random search on deep learning models
This research examines the efficacy of random search (RS) in hyperparameter tuning, comparing its performance to baseline methods namely manual search and grid search. Our analysis spans various deep learning (DL) architectures-multilayer perceptron (MLP), convolutional neural network (CNN), and Ale...
| Published in: | Telkomnika (Telecommunication Computing Electronics and Control) |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197106107&doi=10.12928%2fTELKOMNIKA.v22i4.25847&partnerID=40&md5=90bc795eab60ec217b80b99d8cbfdcde |