Optimization techniques for deep learning: improving performance and efficiency
Auteur :
Hemmati, Atefeh / Rahmani, Amir Masoud / Bazikar, Fatemeh / Moosaei, Hossein / Pardalos, Panos M.
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783032207029
Date de publication :
5 juil. 2026
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare.