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Meta Learning Theory Algorithms Applications by Zou Lan (13 results)
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Meta-Learning: Theory, Algorithms and Applications
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323899315 ISBN 13: 9780323899314
Language: English
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 222.
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Meta-Learning: Theory, Algorithms and Applications
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Meta-learning : Theory, Algorithms and Applications
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Meta-learning : Theory, Algorithms and Applications
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Meta-Learning : Theory, Algorithms and Applications
Published by Elsevier Science & Technology Nov 2022, 2022
ISBN 10: 0323899315 ISBN 13: 9780323899314
Language: English
US$ 223.08
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Add to basketTaschenbuch. Condition: Neu. Neuware - Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. Meta-Learning: Theory, Algorithms and Applications explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning ; why do we need meta-learning ; how are self-improved meta-learning mechanisms heading for AGI ; how can we use meta-learning in our approach to specific scenarios The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm. The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources. Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications.
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Meta-Learning: Theory, Algorithms and Applications
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323899315 ISBN 13: 9780323899314
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 187.88
Convert currencyUS$ 12.13 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 222.
