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Neural Networks with Keras Cookbook

You're reading from   Neural Networks with Keras Cookbook Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789346640
Length 568 pages
Edition 1st Edition
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Authors (2):
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V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Srinivas Pradeep Srinivas Pradeep
Author Profile Icon Srinivas Pradeep
Srinivas Pradeep
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Toc

Table of Contents (18) Chapters Close

Preface 1. Building a Feedforward Neural Network 2. Building a Deep Feedforward Neural Network FREE CHAPTER 3. Applications of Deep Feedforward Neural Networks 4. Building a Deep Convolutional Neural Network 5. Transfer Learning 6. Detecting and Localizing Objects in Images 7. Image Analysis Applications in Self-Driving Cars 8. Image Generation 9. Encoding Inputs 10. Text Analysis Using Word Vectors 11. Building a Recurrent Neural Network 12. Applications of a Many-to-One Architecture RNN 13. Sequence-to-Sequence Learning 14. End-to-End Learning 15. Audio Analysis 16. Reinforcement Learning 17. Other Books You May Enjoy

Image caption generation

In the previous case study, we learned about using CNN, RNN, and CTC loss together to transcribe the handwritten digits.

In this case study, we will learn about integrating CNN and RNN architectures to generate captions for a given picture.

Here is a sample of the picture:

  • A girl in red dress with Christmas tree in background
  • A girl is showing the Christmas tree
  • A girl is playing in the park
  • A girl is celebrating Christmas

Getting ready

In this section, let's list the strategy that we shall adopt to transcribe pictures:

  • We'll be working toward generating captions from pictures by working on a dataset that has images as well as the captions associated with the images. Links of datasets...
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