Deep Learning: Face Recognition

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Adam Geitgey

1:25:48

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01 - Introduction

01 - Build cutting-edge facial recognition systems.mp4

00:44

02 - What you should know.mp4

00:22

03 - Exercise files.mp4

00:43

02 - 1. Setting Up Your Development Environment

01 - Getting set up on macOS.mp4

05:26

02 - Getting set up on Windows.mp4

04:34

03 - 2. An Overview of Face Recognition

01 - What is face recognition.mp4

03:02

02 - What you can do with face recognition.mp4

02:46

03 - Tools for face recognition.mp4

01:27

04 - Face recognition as a multi-step pipeline.mp4

04:22

04 - 3. Face Detection

01 - What is face detection.mp4

03:09

02 - Analyzing an image as a histogram of oriented gradients.mp4

02:46

03 - Finding faces in images with HOG features.mp4

02:25

04 - Coding face detection.mp4

05:02

05 - 4. Facial Feature Detection

01 - What is face landmark estimation.mp4

01:55

02 - Identifying face landmarks with a machine learning model.mp4

02:52

03 - Posing faces based on face landmarks.mp4

02:44

04 - Coding facial feature detection.mp4

05:01

06 - 5. Face Encodings

01 - Representing a face as a set of measurements.mp4

03:11

02 - Automatically generating face encodings.mp4

04:10

03 - Coding a face encoder.mp4

03:22

07 - 6. Facial Recognition

01 - Identifying a face from face encodings.mp4

03:50

02 - Coding a face recognition system.mp4

06:18

03 - Tuning the face recognition system.mp4

04:00

08 - 7. Fun Uses of Face Recognition

01 - Applying digital makeup to a face.mp4

05:30

02 - Finding lookalikes with face recognition.mp4

05:38

09 - Conclusion

01 - Next steps.mp4

00:29

Description

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.

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Deep Learning

Adam Geitgey

Instructor's Courses

Co-founder at Turquoise Health, previously AI/ML/NLP Consultant and a Software Engineer with 15+ years of experience. Writes about Machine Learning, AI and Software Engineering at http://www.machinelearningisfun.com/

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