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OverviewFull Product DetailsAuthor: Bernhard Mehlig (Göteborgs Universitet, Sweden)Publisher: Cambridge University Press Imprint: Cambridge University Press Edition: New edition Dimensions: Width: 17.40cm , Height: 1.60cm , Length: 25.00cm Weight: 0.660kg ISBN: 9781108494939ISBN 10: 1108494935 Pages: 260 Publication Date: 28 October 2021 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: Temporarily unavailable The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you. Table of ContentsReviews'... for someone who wants to understand neural networks at a fundamental level, or to code something from scratch, or to make some advances in the core ideas and develop the field as a result, then this book will give you the theoretical framework for doing just that.' Matt Probert, Contemporary Physics '… for someone who wants to understand neural networks at a fundamental level, or to code something from scratch, or to make some advances in the core ideas and develop the field as a result, then this book will give you the theoretical framework for doing just that.' Matt Probert, Contemporary Physics Author InformationBernhard Mehlig is Professor in Physics at the University of Gothenburg, Sweden. His research is focused on statistical physics of complex systems, and he has published extensively in this area. In 2010, he was awarded the prestigious Göran Gustafsson prize in physics for his outstanding research in statistical physics. He has taught a course on machine learning for more than 15 years at the University of Gothenburg. Tab Content 6Author Website:Countries AvailableAll regions |