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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
Languages
Tools
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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 FREE CHAPTER 2. Building a Deep Feedforward Neural Network 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

Detecting the key points within image of a face

In this recipe, we will learn about detecting the key points of a human face, which are the boundaries of the left and right eyes, the nose, and the four coordinates of the mouth.

Here are two sample pictures with the key points:

Note that the key points that we are expected to detect are plotted as dots in this picture. A total of 68 key points are detected on the image of face, where the key points of the face include - Mouth, right eyebrow, left eyebrow, right eye, left eye, nose, jaw.

In this case study, we will leverage the VGG16 transfer learning technique that we learned in the Gender classification in image using the VGG16 architecture-based model section to detect the key points on the face.

Getting ready

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