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Hands-On Transfer Learning with Python

You're reading from  Hands-On Transfer Learning with Python

Product type Book
Published in Aug 2018
Publisher Packt
ISBN-13 9781788831307
Pages 438 pages
Edition 1st Edition
Languages
Authors (4):
Dipanjan Sarkar Dipanjan Sarkar
Profile icon Dipanjan Sarkar
Nitin Panwar Nitin Panwar
Profile icon Nitin Panwar
Raghav Bali Raghav Bali
Profile icon Raghav Bali
Tamoghna Ghosh Tamoghna Ghosh
Profile icon Tamoghna Ghosh
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Machine Learning Fundamentals 2. Deep Learning Essentials 3. Understanding Deep Learning Architectures 4. Transfer Learning Fundamentals 5. Unleashing the Power of Transfer Learning 6. Image Recognition and Classification 7. Text Document Categorization 8. Audio Event Identification and Classification 9. DeepDream 10. Style Transfer 11. Automated Image Caption Generator 12. Image Colorization 13. Other Books You May Enjoy

Understanding image captioning

By now, you should understand the significance and meaning of image captioning. This task can be simply defined as writing and recording a free-flowing and natural text description for any image. It is usually used to describe various scenes or events in images. This is also popularly termed scene recognition. Let's look at the following example:

Looking at this scene, what could be a suitable caption or description? The following are all valid descriptions of the scene:

  • A motocross rider is on a dirt hill
  • A guy on a bicycle midair above a hill
  • A dirt bike rider is moving fast down a dirt path
  • A biker riding a black motorbike in midair

You can see that all of these captions are valid and are similar yet use different words to convey the same meaning. This is why generating image captions automatically is not an easy task.

In fact, the...

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