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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

Introducing the problem statement


We want to develop two applications. One application will recognize human faces, and the other will recognize the emotion of the human faces. We will discuss both of them in this section. We will look at what exactly we want to develop.

Face recognition application

This application should basically identify human faces from an image or a real-time video stream. Refer to the following photo; it will help you understand what I mean by identifying faces from an image or a real-time video stream:

Figure 10.1: Demo output for understanding the face recognition application

Images source: https://unsplash.com/photos/Q13lggdvtVY

As you can see in the preceding figure (Figure 10.1), when we provide any image as the input, in the first step, the machine can recognize the number of human faces present in the image. As the output, we can get cropped images of the faces.

Beyond this, I also want the application to identify the name of the person based on the face. I think...

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