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Hands-On Machine Learning with IBM Watson

You're reading from   Hands-On Machine Learning with IBM Watson Leverage IBM Watson to implement machine learning techniques and algorithms using Python

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789611854
Length 288 pages
Edition 1st Edition
Languages
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction and Foundation
2. Introduction to IBM Cloud FREE CHAPTER 3. Feature Extraction - A Bag of Tricks 4. Supervised Machine Learning Models for Your Data 5. Implementing Unsupervised Algorithms 6. Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
7. Machine Learning Workouts on IBM Cloud 8. Using Spark with IBM Watson Studio 9. Deep Learning Using TensorFlow on the IBM Cloud 10. Section 3: Real-Life Complete Case Studies
11. Creating a Facial Expression Platform on IBM Cloud 12. The Automated Classification of Lithofacies Formation Using ML 13. Building a Cloud-Based Multibiometric Identity Authentication Platform 14. Another Book You May Enjoy

Creating a Facial Expression Platform on IBM Cloud

In this chapter, we will cover a complete IBM Cloud-based expression classification solution that will use deep learning machine learning techniques on the IBM Cloud platform. The solution will implement a simple, yet efficient, ML model using TensorFlow and the ML services available with IBM Watson Studio. The goal is to illustrate an end-to-end solution for a complex ML task.

We will divide this chapter into the following areas:

  • Understanding facial expression classification
  • Exploring expression databases
  • Preprocessing faces
  • Learning the expression classifier
  • Evaluating the expression classifier
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