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Language: English
Published by The MIT Press Bookstore, 2023
ISBN 10: 0262048647 ISBN 13: 9780262048644
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Language: English
Published by The MIT Press Bookstore, 2023
ISBN 10: 0262048647 ISBN 13: 9780262048644
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Language: English
Published by Penguin Random House, 2023
ISBN 10: 0262048647 ISBN 13: 9780262048644
Seller: INDOO, Avenel, NJ, U.S.A.
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Language: English
Published by Penguin Random House, 2023
ISBN 10: 0262048647 ISBN 13: 9780262048644
Seller: INDOO, Avenel, NJ, U.S.A.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Hardcover. Condition: new. Hardcover. An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today's increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion modelsShort, focused chapters progress in complexity, easing students into difficult conceptsPragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of modelsStreamlined presentation separates critical ideas from background context and extraneous detailMinimal mathematical prerequisites, extensive illustrations, and practice problems make challenging material widely accessibleProgramming exercises offered in accompanying Python Notebooks "This book covers modern deep learning and tackles supervised learning, model architecture, unsupervised learning, and deep reinforcement learning"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by The MIT Press Bookstore, 2023
ISBN 10: 0262048647 ISBN 13: 9780262048644
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
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Gebunden. Condition: Sehr gut. Gebraucht - Sehr gut Leichte Lagerspuren -An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today's increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics. 544 pp. Englisch.