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...

Celý popis

Podrobná bibliografia

Vydané v:	2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) s. 1 - 6
Hlavní autori:	Jagadeesan, D., S, Bakiyalakshmi, Purushotham, B., Kumar, S. Naveen, Asha, G.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 14.12.2023
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!