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Da: liu xing, Nanjing, JS, Cina
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Aggiungi al carrellopaperback. Condizione: New. Paperback.Pub Date:2022-07-01 Pages:159 Language:Chinese Publisher:Tsinghua University Press This book systematically discusses the principles and applications of deep learning image retrieval. The book is divided into two parts: the first part of image retrieval basics (Chapters 1 to 3). which introduces image retrieval technology. deep learning foundation. and deep learning-based image retrieval methods; the second part of image retrieval applications (Chapters 4 to 8) ). taking vehicle ima.
Da: liu xing, Nanjing, JS, Cina
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback.Pub Date:2023-09 Publisher:Hohai University Press.
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Da: liu xing, Nanjing, JS, Cina
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2023-08 Pages: 140 Publisher: Science Press Using deep learning for image detection and feature extraction has been a research hotspot in recent years. This book systematically summarizes the relevant achievements in automatic recognition and extraction of pavement cracks at home and abroad. introduces the relevant theories of deep learning in detail. constructs a semantic segmentation network with improved residual network and attention mechanism. combin.
Lingua: Inglese
Editore: China Water Conservancy and Hydropower Press, 2022
ISBN 10: 7517099361 ISBN 13: 9787517099369
Da: liu xing, Nanjing, JS, Cina
EUR 124,74
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:448 Publisher:China Water Resources and Hydropower Press Machine Learning Deep Learning Image Recognition from Basics to Case Practice introduces the field of artificial intelligence with a large number of graphics and images combined with Python code Knowledge about image recognition. The book consists of 3 parts. of which the first part introduces the basic knowledge and the use of related tools such as Python. Jupyter Nobebook and NumPy.
Lingua: Inglese
Editore: Minzu University of China Press, 2024
ISBN 10: 7566021532 ISBN 13: 9787566021533
Da: liu xing, Nanjing, JS, Cina
EUR 131,23
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2024-05 Pages: 472 Publisher: Minzu University of China Press Image restoration is one of the important research directions in the field of image processing. It aims to restore the content of the lost area by utilizing the known information in the damaged image. In recent years. with the development of deep learning technology. image restoration has made breakthrough progress in both visual effects and the accuracy of restoration results. and has been wid.
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ISBN 10: 7521003543 ISBN 13: 9787521003543
Da: liu xing, Nanjing, JS, Cina
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Aggiungi al carrellopaperback. Condizione: New. Paperback.Pub Date:2019-12 Pages:116 Language:Publisher:Image semantic segmentation (ISS) is a research hotspot involving computer vision. pattern recognition and artificial intelligence. The image semantic segmentation based on deep learning (ISSbDL) method uses deep computational models to learn abstract image features. which promotes the development of ISS related research. Among the ISSbDL methods. the ISS method based on the encoder-decoder model has problems such as loss of pixel spatia.
Lingua: Inglese
ISBN 10: 7519893820 ISBN 13: 9787519893828
Da: liu xing, Nanjing, JS, Cina
EUR 110,15
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2024-10 Pages: 212 Publisher: China Electric Power Press Photovoltaic power generation. as an important component of the new energy field. has developed rapidly. laying a solid foundation for achieving the dual carbon goal. Against this backdrop and technological demand. ground-based cloud image recognition technology. especially its innovative application integrating deep learning technology. can not only effectively improve the accuracy of photovoltaic .
Da: liu xing, Nanjing, JS, Cina
EUR 85,00
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Aggiungi al carrellopaperback. Condizione: New. Paperback.Pub Date:2022-07-01 Pages:159 Language:Chinese Publisher:Tsinghua University Press This book systematically discusses the principles and applications of deep learning image retrieval. The book is divided into two parts: the first part of image retrieval basics (Chapters 1 to 3). which introduces image retrieval technology. deep learning foundation. and deep learning-based image retrieval methods; the second part of image retrieval applications (Chapters 4 to 8) ). taking vehicle ima.
Lingua: Cinese
Editore: China Water Conservancy and Hydropower Press, 2022
ISBN 10: 7517099361 ISBN 13: 9787517099369
Da: liu xing, Nanjing, JS, Cina
EUR 124,74
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:448 Publisher:China Water Resources and Hydropower Press Machine Learning Deep Learning Image Recognition from Basics to Case Practice introduces the field of artificial intelligence with a large number of graphics and images combined with Python code Knowledge about image recognition. The book consists of 3 parts. of which the first part introduces the basic knowledge and the use of related tools such as Python. Jupyter Nobebook and NumPy.
ISBN 10: 7302511020 ISBN 13: 9787302511021
Da: liu xing, Nanjing, JS, Cina
EUR 93,12
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Aggiungi al carrellopaperback. Condizione: New. Paperback. Pub Date: 2018-10-01 Pages: 255 Language: Chinese Publisher: Tsinghua University Press. Introduction to Deep Processing Technology Image Processing starts with the basic concepts of machine learning and image processing. and gradually explains the basics of deep learning image processing technology. Principle and simple implementation. Then introduce several examples of how to use depth.
ISBN 10: 7111624726 ISBN 13: 9787111624721
Da: liu xing, Nanjing, JS, Cina
EUR 101,23
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2019-04-01 Pages: 280 Publisher: Mechanical Industry Press This book provides a comprehensive introduction to the core technologies and applications of deep learning in the field of image processing. The book not only pays attention to the explanation of the basic theory. but also provides one or two cases of different difficulty for each reader from the beginning of Chapter 4. The reader can modify it based on the existing code.
ISBN 10: 7111645987 ISBN 13: 9787111645986
Da: liu xing, Nanjing, JS, Cina
EUR 109,33
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2020-03-01 Pages: 271 Publisher: Machinery Industry Press Deep Learning Image Recognition Technology: Based on TensorFlow Object Detection API and OpenVINO Tool Suite firstly describes artificial intelligence. deep learning. convolutional neural networks. The concept of target detection and migration learning. and then detailed how to build a development environment for deep learning target detection applications based on the TensorFlow Object Detection A.
Da: Majestic Books, Hounslow, Regno Unito
EUR 62,26
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Books Puddle, New York, NY, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 73,83
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this Special Issue, we explore the transformative power of deep learning-based computing technologies in improving the accuracy and reliability of image recognition systems. From advancing autonomous driving to enhancing object detection, deep learning continues to push the boundaries of what is achievable. Additionally, cutting-edge computer vision technologies enable precise medical imaging segmentation and improve image quality in challenging conditions, such as low-light environments and astronomical observations. Leading experts in the field present their latest research and innovations, offering a comprehensive view of the applications and future potential of deep learning in image and video sensing technologies. Together, we envision a future where artificial intelligence not only enhances our everyday devices but also redefines how we interact with technology and the world around us.