Meta Learning With Medical Imaging and Health Informatics Applications (ePub)
(Sprache: Englisch)
Meta-Learning, or learning to learn, has become increasingly popular in recent years. Instead of building AI systems from scratch for each machine learning task, Meta-Learning constructs computational mechanisms to systematically and efficiently adapt to...
sofort als Download lieferbar
eBook (ePub)
116.20 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Meta Learning With Medical Imaging and Health Informatics Applications (ePub)“
Meta-Learning, or learning to learn, has become increasingly popular in recent years. Instead of building AI systems from scratch for each machine learning task, Meta-Learning constructs computational mechanisms to systematically and efficiently adapt to new tasks. The meta-learning paradigm has great potential to address deep neural networks' fundamental challenges such as intensive data requirement, computationally expensive training, and limited capacity for transfer among tasks.This book provides a concise summary of Meta-Learning theories and their diverse applications in medical imaging and health informatics. It covers the unifying theory of meta-learning and its popular variants such as model-agnostic learning, memory augmentation, prototypical networks, and learning to optimize. The book brings together thought leaders from both machine learning and health informatics fields to discuss the current state of Meta-Learning, its relevance to medical imaging and health informatics, and future directions.
- First book on applying Meta Learning to medical imaging
- Pioneers in the field as contributing authors to explain the theory and its development
- Has GitHub repository consisting of various code examples and documentation to help the audience to set up Meta-Learning algorithms for their applications quickly
Bibliographische Angaben
- 2022, 428 Seiten, Englisch
- Herausgegeben: Hien van Nguyen, Ronald Summers, Rama Chellappa
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0323998526
- ISBN-13: 9780323998529
- Erscheinungsdatum: 24.09.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 47 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Meta Learning With Medical Imaging and Health Informatics Applications"
Schreiben Sie einen Kommentar zu "Meta Learning With Medical Imaging and Health Informatics Applications".
Kommentar verfassen