Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems
Produktnummer:
18a659ce6ce57f4ad1ae04ed1db1745f60
| Themengebiete: | Artificial Intelligence Computational Intelligence Distillation Learning Intelligent Systems Knowledge Distillation |
|---|---|
| Veröffentlichungsdatum: | 14.06.2023 |
| EAN: | 9783031320941 |
| Sprache: | Englisch |
| Seitenzahl: | 232 |
| Produktart: | Gebunden |
| Herausgeber: | Chen, Shyi-Ming Pedrycz, Witold |
| Verlag: | Springer International Publishing |
Produktinformationen "Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems"
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.
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