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

Chapter 10. Deployment

In this chapter, we will learn how to deploy the trained model in the various platforms for maximum throughput and minimum latency. We will understand performance on various hardware such as a GPU and a CPU. We will follow the steps of deploying TensorFlow in platforms such as Amazon Web Services, Google Cloud Platform, and mobile platforms such as Android, iOS, and Tegra.

We will cover the following topics in this chapter:

  • Understanding the factors affecting the performance of the deep learning model training and inference
  • Improving the performance through various methods
  • Seeing the benchmarks of various hardware and learning the steps to tweak them for maximum performance
  • Using various cloud platforms for deployment
  • Using various mobile platforms for deployment