Téléchargez le livre : Meta Learning With Medical Imaging and Health Informatics Applications

Meta Learning With Medical Imaging and Health Informatics Applications

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Academic Press


Paru le : 2022-09-24

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Description
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
Pages
428 pages
Collection
n.c
Parution
2022-09-24
Marque
Academic Press
EAN papier
9780323998512
EAN PDF
9780323998529
Informations sur l'ebook
Nombre pages copiables
42
Nombre pages imprimables
42
Taille du fichier
19374 Ko
Prix
119,21 €
EAN EPUB SANS DRM
9780323998529
Informations sur l'ebook
Prix
119,21 €

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