Auto ML and Neural Architecture Search for Deep Learning Model Optimization

This study digs into the ever-changing environment of Neural Architecture Search (NAS) and Atom (Automated Machine Learning) for the purpose of deep learning model optimization. We take a methodical look at these methods to see whether they can really bring about a sea change in the way AI is create...

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Bibliographic Details

Published in:	2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) pp. 1 - 6
Main Authors:	Jagadeesan, D., S, Bakiyalakshmi, Purushotham, B., Kumar, S. Naveen, Asha, G.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 14.12.2023
Subjects:	Computer architecture Deep learning Ethical AI Ethics Fairness Focusing Hyperparameter Tuning Model Optimization Neural Architecture Search R Hybrid Approaches Real-time Optimization Scalability Training Transfer learning
Online Access:	Get full text
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