Deep Learning: Face Recognition

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Free Online Course: Deep Learning: Face Recognition provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Deep Learning: Face Recognition is taught by Adam Geitgey.

Overview
  • Learn how to develop a face recognition system by leveraging deep learning. Find out how to code for face detection, identification, and more.

Syllabus
  • 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