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Machine Learning Solutions

You're reading from   Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

Machine Learning Solutions
Foreword
Contributors
Preface
1. Credit Risk Modeling 2. Stock Market Price Prediction FREE CHAPTER 3. Customer Analytics 4. Recommendation Systems for E-Commerce 5. Sentiment Analysis 6. Job Recommendation Engine 7. Text Summarization 8. Developing Chatbots 9. Building a Real-Time Object Recognition App 10. Face Recognition and Face Emotion Recognition 11. Building Gaming Bot List of Cheat Sheets Strategy for Wining Hackathons Index

Chapter 10. Face Recognition and Face Emotion Recognition

In the previous chapter, we looked at how to detect objects such as a car, chair, cat, and dog, using Convolutional Neural Networks and the YOLO (You Only Look Once) algorithm. In this chapter, we will be detecting human faces. Apart from that, we will be looking at expressions of the human face, such as a human face seeming happy, neutral, sad, and so on. So, this chapter will be interesting, because we are going to focus on some of the latest techniques of face detection and face emotion recognition. We are dividing this chapter into two parts:

  • Face detection

  • Face emotion recognition

First, we will cover how face detection works, and after that, we will move on to the face emotion recognition part. In general, we will cover the following topics in this chapter:

  • Introducing the problem statement

  • Setting up the coding environment

  • Understanding the concepts of face recognition

  • Approaches for implementing face recognition

  • Understanding the...

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