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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

Image Captioning

In this chapter, we will deal with the problem of captioning images. This involves detecting the objects and also coming up with a text caption for the image. Image captioning also can be called Image to Text translation. Once thought a very tough problem, we have reasonably good results on this now. For this chapter, a dataset of images with corresponding captions is required. In this chapter, we will discuss the techniques and applications of image captioning in detail.

We will cover the following topics in this chapter:

  • Understand the different datasets and metrics used to evaluate them
  • Understand some techniques used for natural language processing problems
  • Different words for vector models
  • Several algorithms for image captioning
  • Adverse results and scope for improvement
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