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LinkedIn Learning

Deep Learning: Face Recognition

via LinkedIn Learning

Overview

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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

Taught by

Adam Geitgey

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4.7 rating at LinkedIn Learning based on 293 ratings

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