Deep Learning: Face Recognition
With Adam Geitgey
Liked by 2,535 users
Duration: 1h 25m
Skill level: Intermediate
Released: 9/21/2018
Course details
Face recognition is used for everything from automatically tagging pictures to unlocking cell phones. And with recent advancements in deep learning, the accuracy of face recognition has improved. 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 you've experienced in popular mobile apps. Find out how to set up a development environment. Discover tools you can leverage for face recognition. See how a machine learning model can be trained to analyze images and identify facial landmarks. Learn the steps involved in coding facial feature detection, representing a face as a set of measurements, and encoding faces. Additionally, learn how to repurpose and adjust pre-existing systems.
Skills you’ll gain
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Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
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Kang Shan
Kang Shan
Computer Vision Specialist
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Motshedisi Rose Korir
Motshedisi Rose Korir
Motshedisi Rose Korir
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone