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Deep Learning for Computer Vision

You're reading from   Deep Learning for Computer Vision Expert techniques to train advanced neural networks using TensorFlow and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788295628
Length 310 pages
Edition 1st Edition
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Author (1):
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Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started 2. Image Classification FREE CHAPTER 3. Image Retrieval 4. Object Detection 5. Semantic Segmentation 6. Similarity Learning 7. Image Captioning 8. Generative Models 9. Video Classification 10. Deployment 11. Other Books You May Enjoy

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.

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