Book Image

Deep Learning for Computer Vision

By : Rajalingappaa Shanmugamani
Book Image

Deep Learning for Computer Vision

By: Rajalingappaa Shanmugamani

Overview of this book

Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface

Contributors

About the author

Rajalingappaa Shanmugamani is currently working as a Deep Learning Lead at SAP, Singapore. Previously, he has worked and consulted at various startups for developing computer vision products. He has a Masters from Indian Institute of Technology – Madras where his thesis was based on applications of computer vision in the manufacturing industry. He has published articles in peer-reviewed journals and conferences and applied for few patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.

I thank my spouse Ezhil, family and friends for their immense support. I thank all the teachers, colleagues, managers and mentors from whom I have learned a lot. I thank Jean Ooi for creating the graphics for the book.

About the reviewers

Nishanth Koganti received B.Tech in Electrical Engineering from Indian Institute of Technology Jodhpur, India in 2012, M.E  and PhD in Information Science from Nara Institute of Science and Technology, Japan in 2014, 2017 respectively. He is currently a Postdoctoral researcher at the University of Tokyo, Japan. His research interests are in assistive robotics, motor-skills learning, and machine learning. His graduate research was on the development of a clothing assistance robot that helps elderly people to wear clothes.

 

 

 

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