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

Author:   Jonah Gamba
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2024
ISBN:  

9789819996711


Pages:   201
Publication Date:   10 April 2024
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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


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Author:   Jonah Gamba
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2024
ISBN:  

9789819996711


ISBN 10:   9819996716
Pages:   201
Publication Date:   10 April 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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Author Information

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.

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