Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Prior Books Ltd, Cheltenham, United Kingdom
First Edition
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Add to basketHardcover. Condition: Like New. First Edition. Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Very Good. Cover and edges may have some wear.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Fine.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: SMASS Sellers, IRVING, TX, U.S.A.
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: California Books, Miami, FL, U.S.A.
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Language: English
Published by Cambridge University Press CUP, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
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Condition: New. 1st edition NO-PA16APR2015-KAP.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Majestic Books, Hounslow, United Kingdom
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 371 pages. 9.75x7.00x1.00 inches. In Stock.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2021. Hardcover. . . . . . Books ship from the US and Ireland.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
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Add to basketCondition: New. 2021. Hardcover. . . . . .
Language: English
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up, this is essential reading for any scientists, instructors, and students interested in artificial intelligence and deep learning. It provides guidance on how to think about scientific questions, and leads readers through the history of the field and its fundamental connections to neuroscience. The author discusses many applications to beautiful problems in the natural sciences, in physics, chemistry, and biomedicine. Examples include the search for exotic particles and dark matter in experimental physics, the prediction of molecular properties and reaction outcomes in chemistry, and the prediction of protein structures and the diagnostic analysis of biomedical images in the natural sciences. The text is accompanied by a full set of exercises at different difficulty levels and encourages out-of-the-box thinking. This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in artificial intelligence and deep learning, it demonstrates many applications in physics, chemistry, and biomedicine. It includes a full set of exercises and encourages out-of-the-box thinking. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: Revaluation Books, Exeter, United Kingdom
US$ 88.28
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Add to basketHardcover. Condition: Brand New. 371 pages. 9.75x7.00x1.00 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: CitiRetail, Stevenage, United Kingdom
US$ 90.93
Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up, this is essential reading for any scientists, instructors, and students interested in artificial intelligence and deep learning. It provides guidance on how to think about scientific questions, and leads readers through the history of the field and its fundamental connections to neuroscience. The author discusses many applications to beautiful problems in the natural sciences, in physics, chemistry, and biomedicine. Examples include the search for exotic particles and dark matter in experimental physics, the prediction of molecular properties and reaction outcomes in chemistry, and the prediction of protein structures and the diagnostic analysis of biomedical images in the natural sciences. The text is accompanied by a full set of exercises at different difficulty levels and encourages out-of-the-box thinking. This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in artificial intelligence and deep learning, it demonstrates many applications in physics, chemistry, and biomedicine. It includes a full set of exercises and encourages out-of-the-box thinking. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in artificial intelligence and deep learning, it demonstrates many applications in physics, chemistry, and biomedi.
Language: English
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 1108845355 ISBN 13: 9781108845359
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up, this is essential reading for any scientists, instructors, and students interested in artificial intelligence and deep learning. It provides guidance on how to think about scientific questions, and leads readers through the history of the field and its fundamental connections to neuroscience. The author discusses many applications to beautiful problems in the natural sciences, in physics, chemistry, and biomedicine. Examples include the search for exotic particles and dark matter in experimental physics, the prediction of molecular properties and reaction outcomes in chemistry, and the prediction of protein structures and the diagnostic analysis of biomedical images in the natural sciences. The text is accompanied by a full set of exercises at different difficulty levels and encourages out-of-the-box thinking. This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in artificial intelligence and deep learning, it demonstrates many applications in physics, chemistry, and biomedicine. It includes a full set of exercises and encourages out-of-the-box thinking. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.