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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

Generative Models

Generative models have become an important application in computer vision. Unlike the applications discussed in previous chapters that made predictions from images, generative models can create an image for specific objectives. In this chapter, we will understand:

  • The applications of generative models
  • Algorithms for style transfer
  • Training a model for super-resolution of images
  • Implementation and training of generative models
  • Drawbacks of current models 

By the end of the chapter, you will be able to implement some great applications for transferring style and understand the possibilities, as well as difficulties, associated with generative models.

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