Deep Learning: Face Recognition

Introduction

• Build cutting-edge facial recognition systems
• What you should know
• Exercise files

1. Setting Up Your Development Environment

• Getting set up on macOS
• Getting set up on Windows

2. An Overview of Face Recognition

• What is face recognition?
• What you can do with face recognition
• Tools for face recognition
• Face recognition as a multi-step pipeline

3. Face Detection

• What is face detection?
• Analyzing an image as a histogram of oriented gradients
• Finding faces in images with HOG features
• Coding face detection

4. Facial Feature Detection

• What is face landmark estimation?
• Identifying face landmarks with a machine learning model
• Posing faces based on face landmarks
• Coding facial feature detection

5. Face Encodings

• Representing a face as a set of measurements
• Automatically generating face encodings
• Coding a face encoder

6. Facial Recognition

• Identifying a face from face encodings
• Coding a face recognition system
• Tuning the face recognition system

7. Fun Uses of Face Recognition

• Applying digital makeup to a face
• Finding lookalikes with face recognition

Conclusion

• Next steps