Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems - Couverture souple

Couverture souple

ISBN 10 : 3031320972 ISBN 13 : 9783031320972

Editeur : Springer, 2024

Synopsis

The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 3031320972
• ISBN 13: 9783031320972
• Reliure: Broché
• Nombre de pages: 244
• Éditeur: Pedrycz Witold, Chen Shyi-Ming
• Coordonnées du fabricant: GPSR Kontakt; ProductSafety@springernature.com; ; Slevogtstraße 3-5; Heidelberg; 69126; Allemagne