Deep Learning: Face Recognition
- Offered byLinkedin Learning
Deep Learning: Face Recognition at Linkedin Learning Overview
Duration | 2 hours |
Total fee | ₹1,150 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Deep Learning: Face Recognition at Linkedin Learning Highlights
- Earn a sharable certificate
- 1 exercise file
- Access on tablet and phone
Deep Learning: Face Recognition at Linkedin Learning Course details
- In this course, learn how to develop a face recognition system that can detect faces in images, identify the faces, and even modify faces with "digital makeup" like learner have experienced in popular mobile apps
- Find out how to set up a development environment
- Discover tools learner can leverage for face recognition
- See how a machine learning model can be trained to analyze images and identify facial landmarks
Deep Learning: Face Recognition at Linkedin Learning Curriculum
Introduction
Build cutting-edge facial recognition systems
What you should know
Exercise files
Setting Up Your Development Environment
Getting set up on macOS
Getting set up on Windows
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
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
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
Face Encodings
Representing a face as a set of measurements
Automatically generating face encodings
Coding a face encoder
Facial Recognition
Identifying a face from face encodings
Coding a face recognition system
Tuning the face recognition system
Fun Uses of Face Recognition
Applying digital makeup to a face
Finding lookalikes with face recognition
Conclusion
Next steps
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Student Forum
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