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Deep Learning Crash Course
Language: English
Published by No Starch Press, Inc, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
paperback. Condition: Very Good. Grade 3 out 5 points. This is a used book. Book has wear on cover and pages. May have personalized notes/names, stickers/labels. Has no markings on pages. May not include extra materials like access codes, CDs, accessories, etc. All orders ship by next business day! We are a small company and very thankful for your business!
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Condition: New.
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Deep Learning Crash Course
Language: English
Published by No Starch Press, Inc, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
paperback. Condition: Fine. Grade 4 out of 5 points. This is a used book. Book may have wear due to handling. Has no markings on pages. May not include extra materials like access codes, CDs, accessories, etc. All orders ship by next business day! We are a small company and very thankful for your business!
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Deep Learning Crash Course
Language: English
Published by No Starch Press,US, US, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Paperback. Condition: New. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.
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Condition: New.
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Deep Learning Crash Course
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Deep Learning Crash Course
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 42.43
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Deep Learning Crash Course
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New.
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£ 39.94
£ 15.49 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketpaperback. Condition: New.
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Paperback. Condition: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
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Condition: New.
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Paperback. Condition: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
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Deep Learning Crash Course
Language: English
Published by No Starch Press,US, US, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Paperback. Condition: New. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.
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Condition: New. Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the Göran Gustafsson Prize in Physics, has published extensively on deep learning and physics and developed key software packages including DeepTrack, D.
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Deep Learning Crash Course
Language: English
Published by No Starch Press,US, US, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Paperback. Condition: New. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.
