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You're reading from  Deep Learning for Computer Vision

Product typeBook
Published inJan 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788295628
Edition1st Edition
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Author (1)
Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more about Rajalingappaa Shanmugamani

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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.

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Deep Learning for Computer Vision
Published in: Jan 2018Publisher: PacktISBN-13: 9781788295628

Author (1)

author image
Rajalingappaa Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Read more about Rajalingappaa Shanmugamani