Moore Stephen - Deep learning for computer vision: expert techniques to train advanced neural networks using TensorFlow and Keras

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First published: January 2018

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Deep learning is revolutionizing AI, and over the next several decades, it will change the world radically. AI powered by deep learning will be on par in scale with the industrial revolution. This, understandably, has created excitement and fear about the future. But the reality is that just like the industrial revolution and machinery, deep learning will improve industrial capacity and raise the standards of living dramatically for humankind. Rather than replace jobs, it will create many more jobs of a higher stand. This is why this book is so important and timely. Readers of this book will be introduced to deep learning for computer vision, its power, and many applications. This book will give readers a grounding in the fundamentals of an emerging industry that will grow exponentially over the next decade.

Rajalingappaa Shanmugamani is a great researcher whom I have worked with previously on several projects in computer vision. He was the lead engineer in designing and delivering a complex computer vision and deep learning system for fashion search that was deployed in the real world with great success. Among his strengths is his ability to take up state-of-the-art research in complex problems and apply them to real-world situations. He can also break down complex ideas and explain them in simple terms as is demonstrated in this book. Raja is a very ambitious person with great work ethics, and in this book, he has given a great overview of the current state of computer vision using deep learning, a task not many can do in today's industry. This book is a great achievement by Raja and Im sure the reader will enjoy and benefit from it for many years to come.

Dr. Stephen Moore

Chief Technology Officer, EmotionReader, Singapore

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.

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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Deep Learning for Computer Vision is a book intended for readers who want to learn deep-learning-based computer vision techniques for various applications. This book will give the reader tools and techniques to develop computer-vision-based products. There are plenty of practical examples covered in the book to follow the theory.