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Paperback or Softback. Condition: New. Automated Deep Learning Using Neural Network Intelligence: Develop and Design Pytorch and Tensorflow Models Using Python. Book.
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Published by Packt Publishing 2018-02-22, 2018
ISBN 10: 1788478401 ISBN 13: 9781788478403
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Published by Packt Publishing 2019-05-20, 2019
ISBN 10: 1838642706 ISBN 13: 9781838642709
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Paperback. Condition: New.
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First Edition
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Paperback. Condition: Brand New. 401 pages. 10.00x7.00x0.83 inches. In Stock.
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Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1785618520 ISBN 13: 9781785618529
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Hardback. Condition: New. Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of. The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. Further chapters focus on specific radar applications, which relate to DNN design for micro-Doppler analysis, SAR-based automatic target recognition, radar remote sensing, and emerging fields, such as data fusion and image reconstruction. Edited by an acknowledged expert, and with contributions from an international team of authors, this book provides a solid introduction to the fundamentals of radar and machine learning, and then goes on to explore a range of technologies, applications and challenges in this developing field. This book is also a valuable resource for both radar engineers seeking to learn more about deep learning, as well as computer scientists who are seeking to explore novel applications of machine learning. In an era where the applications of RF sensing are multiplying by the day, this book serves as an easily accessible primer on the nuances of deep learning for radar applications.
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Taschenbuch. Condition: Neu. Automated Deep Learning Using Neural Network Intelligence | Develop and Design Pytorch and Tensorflow Models Using Python | Ivan Gridin | Taschenbuch | xvii | Englisch | 2022 | Apress | EAN 9781484281482 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Intermediate-Advanced user level.
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Published by Institution of Engineering and Technology, 2021
ISBN 10: 1785618520 ISBN 13: 9781785618529
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Published by Institution of Engineering and Technology, 2021
ISBN 10: 1785618520 ISBN 13: 9781785618529
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Hardcover. Condition: Brand New. 400 pages. 9.21x6.14x0.94 inches. In Stock.
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