Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

by Rajalingappaa Shanmugamani

Overview

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.

Product Details

ISBN-13:	9781788293358
Publisher:	Packt Publishing
Publication date:	01/23/2018
Sold by:	Barnes & Noble
Format:	eBook
Pages:	310
File size:	61 MB
Note:	This product may take a few minutes to download.

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.

Table of Contents

Table of Contents

1. Getting Started
2. Image Classification
3. Image Retrieval
4. Object Detection
5. Semantic Segmentation
6. Similarity Learning
7. Image Captioning
8. Generative models
9. Video Classification
10. Deployment