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Deep Learning Mindspore Practice by Chen (13 results)
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Deep Learning and Practice with MindSpore (Cognitive Intelligence and Robotics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 160.02
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Add to basketCondition: New. In English.
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Deep Learning and Practice with MindSpore (Cognitive Intelligence and Robotics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 160.02
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Add to basketCondition: New. In English.
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Deep Learning and Practice with MindSpore
Published by Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811622353 ISBN 13: 9789811622359
Language: English
£ 167.07
Convert currency£ 11.91 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources.
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Deep Learning and Practice with MindSpore
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811622329 ISBN 13: 9789811622328
Language: English
£ 167.07
Convert currency£ 11.91 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources.
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Deep Learning and Practice with MindSpore
Published by Springer Nature Singapore, Springer Nature Singapore Aug 2021, 2021
ISBN 10: 9811622329 ISBN 13: 9789811622328
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 159.54
Convert currency£ 29.80 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 412 pp. Englisch.
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£ 195
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£ 158.37
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£ 158.72
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Deep Learning and Practice With Mindspore
Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811622329 ISBN 13: 9789811622328
Language: English
Hardcover. Condition: Brand New. 412 pages. 9.25x6.10x0.94 inches. In Stock.
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£ 78.30
Convert currency£ 11.01 shipping from China to United KingdomQuantity: 5 available
Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-03-01 Pages: 355 Publisher: Tsinghua University Press Li Hang. Beijing Byming Technology Co. Ltd. AI Lab Director MINDSPORE is the depth learning framework developed by Huawei. compatible with the current mainstream depth learning framework. Support end-border cloud full-site full stack development. Deep learning and MINDSP .
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Deep Learning and Practice with MindSpore
Published by Springer Nature Singapore, 2022
ISBN 10: 9811622353 ISBN 13: 9789811622359
Language: English
£ 134.83
Convert currency£ 21.28 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces readers to deep learning models and algorithms in both theory and practiceExplores how deep learning methods can be used in various applications and their performance in this regardCombines theory and practical applications to ex.
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Deep Learning and Practice with MindSpore
Published by Springer Nature Singapore, 2021
ISBN 10: 9811622329 ISBN 13: 9789811622328
Language: English
£ 134.83
Convert currency£ 21.28 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces readers to deep learning models and algorithms in both theory and practiceExplores how deep learning methods can be used in various applications and their performance in this regardCombines theory and practical applications to ex.
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Deep Learning and Practice with MindSpore
Published by Springer Nature Singapore Aug 2021, 2021
ISBN 10: 9811622329 ISBN 13: 9789811622328
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 159.54
Convert currency£ 9.37 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources. 412 pp. Englisch.
