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ISBN 10: 0750362421 ISBN 13: 9780750362429
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Hardcover. Condition: new. Hardcover. This book, together with the accompanying Python codes, provides a thorough and extensive guide for mastering advanced computer vision techniques for image processing by using the open-source machine learning framework PyTorch. Known for its user-friendly interface and Python programming style, PyTorch is accessible and one of the most popular tools among researchers and practitioners in the field of artificial intelligence.Key Features:Hands-on approach using the accompanying practical code examplesCodes for all projects listed in the book are in a same style with four parts: data input, data display, data process and data outputEmphasis on practical application development for computer visionIncludes latest computer vision technologiesOffers practical guidance on advanced computer vision techniquesUses freely available and open-source resources like Kaggle and Google Colab This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 0750362456 ISBN 13: 9780750362450
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Add to basketCondition: Gut. Zustand: Gut | Seiten: 364 | Sprache: Englisch | Produktart: Bücher | This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch.
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ISBN 10: 0750362421 ISBN 13: 9780750362429
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Hardcover. Condition: new. Hardcover. This book, together with the accompanying Python codes, provides a thorough and extensive guide for mastering advanced computer vision techniques for image processing by using the open-source machine learning framework PyTorch. Known for its user-friendly interface and Python programming style, PyTorch is accessible and one of the most popular tools among researchers and practitioners in the field of artificial intelligence.Key Features:Hands-on approach using the accompanying practical code examplesCodes for all projects listed in the book are in a same style with four parts: data input, data display, data process and data outputEmphasis on practical application development for computer visionIncludes latest computer vision technologiesOffers practical guidance on advanced computer vision techniquesUses freely available and open-source resources like Kaggle and Google Colab This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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