Meta Learning With Medical Imaging and Health Informatics Applications is popular PDF and ePub book, written by Hien Van Nguyen in 2022-09-24, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Meta Learning With Medical Imaging and Health Informatics Applications can be Read Online from any device for your convenience.
Meta Learning With Medical Imaging and Health Informatics Applications Book PDF Summary
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
Detail Book of Meta Learning With Medical Imaging and Health Informatics Applications PDF
- Author : Hien Van Nguyen
- Release : 24 September 2022
- Publisher : Academic Press
- ISBN : 9780323998529
- Genre : Computers
- Total Page : 430 pages
- Language : English
- PDF File Size : 9,8 Mb
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