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

Summary


In this chapter, we have learned about generative models and the vast number of applications. We implemented them to transfer style from one to another while preserving the content. We saw the intuition behind GAN and trained models to do the same. In the end, we learned about the visual dialogue system.

In the next chapter, we will learn about deep learning methods for video analysis. We will see how to access video content through cameras, files, and so on. We will implement video classification by applying classification on a frame level and on the video as a whole. Later, we will see how to track objects in a video.