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Deep Learning Models: A Practical Approach for Hands-On Professionals

English

By (author): Jonah Gamba

This book focuses on and prioritizes a practical approach, minimizing theoretical concepts to deliver algorithms effectively. With deep learning emerging as a vibrant field of research and development in numerous industrial applications, there is a pressing need for accessible resources that provide comprehensive examples and quick guidance. Unfortunately, many existing books on the market tend to emphasize theoretical aspects, leaving newcomers scrambling for practical guidance. This book takes a different approach by focusing on practicality while keeping theoretical concepts to a necessary minimum. The book begins by laying a foundation of basic information on deep learning, gradually delving into the subject matter to explain and illustrate the limitations of existing algorithms. A dedicated chapter is allocated to evaluating the performance of multiple algorithms on specific datasets, highlighting techniques and strategies that can address real-world challenges when deep learning is employed. By consolidating all necessary information into a single resource, readers can bypass the hassle of scouring scattered online sources, gaining a one-stop solution to dive into deep learning for object detection and classification. To facilitate understanding, the book employs a rich array of illustrations, figures, tables, and code snippets. Comprehensive code examples are provided, empowering readers to grasp concepts quickly and develop practical solutions. The book covers essential methods and tools, ensuring a complete and comprehensive coverage that enables professionals to implement deep learning algorithms swiftly and effectively.

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.

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Current price €128.51
Original price €152.99
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A01=Jonah GambaAge Group_UncategorizedAuthor_Jonah Gambaautomatic-updateCategory1=Non-FictionCategory=UBCategory=UKCategory=UYQMCategory=UYQVCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 26 Apr 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 26 Apr 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819996711

About Jonah Gamba

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 Universitys 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.

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