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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 82,78
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 75,51
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 74,73
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 75,50
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Da: Revaluation Books, Exeter, Regno Unito
EUR 103,91
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Aggiungi al carrelloHardcover. Condizione: Brand New. 134 pages. 8.50x5.44x0.55 inches. In Stock.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 82,42
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 86,69
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 67,30
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to be the death of most of the traditional image processing and computer vision techniques. Today, deep learning is considered to be the most powerful, accurate, efficient and effective method with the potential to solve many of the most challenging problems in visual computing.This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find it a handy guide for designing and implementing their own projects in the field of visual computing. 140 pp. Englisch.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 93,98
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Da: moluna, Greven, Germania
EUR 61,20
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Prof Hassan Ugail is Director of the Centre for Visual Computing at the University of Bradford, UK. He is a renowned computer scientist in the area of visual computing and artificial intelligence (AI). He is an advocate of AI for helping.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 75,99
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to be the death of most of the traditional image processing and computer vision techniques. Today, deep learning is considered to be the most powerful, accurate, efficient and effective method with the potential to solve many of the most challenging problems in visual computing.This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find it a handy guide for designing and implementing their own projects in the field of visual computing.