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 covered various topics related to video classification. We saw how to split videos into frames and use the deep learning models that are in images for various tasks. We covered a few algorithms that are specific to video, such as tracking objects. We saw how to apply video-based solutions to various scenarios such as action recognition, gesture recognition, security applications, and intrusion detection.

In the next chapter, we will learn how to deploy the trained models from the previous chapter into production on various cloud and mobile platforms. We will see how different hardware affects the performance regarding latency and throughput.