Deep Learning Models
Springer Verlag, Singapore
978-981-99-9671-1 (ISBN)
This book is designed to equip professionals with the necessary skills to thrive in the active field of deep learning, where it has the potential to revolutionize traditional problem-solving approaches. This book serves as a practical companion, enabling readers to grasp concepts swiftly and embark on building practical solutions.
Dr. Jonah Gamba received a B.Sc. degree in Electrical and Electronics Engineering from the University of Zimbabwe in 1994 and an M.Sc. in Computer Science and Engineering from Zhejiang University, Hangzhou, China, in 2000. He obtained a Ph.D. degree in Mathematical Information Systems from Saitama University in 2005. He was a postdoctoral research fellow in information theory at Tsukuba University from 2006 to 2008. He has been actively involved in research and development activities after obtaining his Ph.D. He conducted research in automotive applications of millimeter-wave radar for advanced vehicle safety and comfort systems. At Tsukuba University’s Tsukuba Advanced Research Alliance, he conducted research in video and image processing algorithms as a JST CREST Project postdoctoral researcher. Dr. Gamba has authored and co-authored several publications in signal processing and related fields. As an inventor, he has registered multiple patents in signal processing applications. His current interests are signal processing for automotive applications, functional safety management, and remote sensing. He has been a visiting researcher of Seikei University and Tokyo University. He is a member of IEEE Signal Processing Society.
Chapter 1. Basic Approaches in Object Detection and Classification by Deep Learning.- Chapter 2. Requirements for Hands-on Approach to Deep Learning.- Chapter 3. Building Deep Learning Models.- Chapter 4. The Building Blocks of Machine Learning and Deep Learning.- Chapter 5. Remote Sensing Example for Deep Learning.
Erscheinungsdatum | 10.04.2024 |
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Reihe/Serie | Transactions on Computer Systems and Networks |
Zusatzinfo | 164 Illustrations, color; 101 Illustrations, black and white; XIV, 201 p. 265 illus., 164 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Mathematik / Informatik ► Informatik ► Netzwerke | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Weitere Themen ► Hardware | |
Schlagworte | computer vision • Deep learning • Object classification • Object detection • Python programming • Remote Sensing |
ISBN-10 | 981-99-9671-6 / 9819996716 |
ISBN-13 | 978-981-99-9671-1 / 9789819996711 |
Zustand | Neuware |
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