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Published by Engineering Science Reference, 2020
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Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3639225724 ISBN 13: 9783639225723
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Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2010
ISBN 10: 3639225724 ISBN 13: 9783639225723
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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 3639225724 ISBN 13: 9783639225723
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hsu Pei-HsunPei-Hsun Hsu was born in Taiwan. She received the B.S. degree in mathematics from National Central University, M.S. degree in applied mathematics from National Dong Hwa University and now is the Ph.D. candidate of compute.
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Published by Engineering Science Reference, 2020
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Published by Engineering Science Reference, 2020
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a solution to developing intelligent pattern recognition Apps on iOS devices based on MatConvNet deep learning. The book presents research on a range of topics, including medical image diagnosis, convolutional neural networks, and character classif.
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Published by Engineering Science Reference, 2020
ISBN 10: 1799815552 ISBN 13: 9781799815556
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Published by Engineering Science Reference, 2020
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Taschenbuch. Condition: Neu. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition | Emerging Research and Opportunities | Jiann-Ming Wu (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Engineering Science Reference | EAN 9781799815556 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Published by Engineering Science Reference, 2020
ISBN 10: 1799815544 ISBN 13: 9781799815549
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a solution to developing intelligent pattern recognition apps on iOS devices based on MatConvNet deep learning. The book includes research on a range of topics, including medical image diagnosis, convolutional neural networks, and character classif.
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Published by Engineering Science Reference, 2020
ISBN 10: 1799815552 ISBN 13: 9781799815556
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book presents a total solution to developing intelligent pattern recognition apps on iOS devices based on MatConvNet deep learning'.
Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799815544 ISBN 13: 9781799815549
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition | Emerging Research and Opportunities | Jiann-Ming Wu (u. a.) | Buch | Gebunden | Englisch | 2020 | Engineering Science Reference | EAN 9781799815549 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Engineering Science Reference, 2020
ISBN 10: 1799815544 ISBN 13: 9781799815549
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image classification. As these technologies continue to advance, professionals have begun translating this intelligent programming language into mobile applications for devices. Programmers and web developers are in need of significant research on how to successfully develop pattern recognition applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on MatConvNet deep learning. Featuring research on topics such as medical image diagnosis, convolutional neural networks, and character classification, this book is ideally designed for programmers, developers, researchers, practitioners, engineers, academicians, students, scientists, and educators seeking coverage on the specific development of iOS mobile applications using pattern recognition strategies.