Build Jamie – A Facial Recognition AI
This title is part of the Python Computer Vision Mini-Degree
In this course we’ll be building a facial recognition Artificial Intelligence (AI). The approach we’ll take is to train our AI using an existing dataset of faces created by the University of Yale, and then give it our own faces to see if it can recognize them.
The big topics that will be covered in this course center around the concept of Dimensionality Reduction. We’ll cover techniques such as Eigenfaces and Fisherfaces to make our AI detect faces. This will be complemented by a more accurate technique named Local Binary Patterns. We’ll cover the Yale Faces Database and how you can add additional faces to it.
About the Python Computer Vision Mini-Degree
The Python Computer Vision Mini-Degree is an on-demand curriculum featuring 8 professional-grade courses that are suitable for beginners and more advanced developers alike. This innovative program will teach you how to code in Python, master the fundamentals of Numpy, and understand the core concepts underlying computer vision, including how images are represented and can be manipulated, pattern detection, and video and optical flow.
With such an understanding of these powerful technologies, you’ll be prepared to take on the world as a well-informed and highly prepared developer.
This course builds up on the concepts covered in our course Build Lorenzo - A Face Swapping AI.
Python 3 is used in this course.
It is recommended to take this course as part of the Python Mini-Degree, which includes 12 courses on Python, Computer Vision, Machine Learning, Deep Learning and much more.
- Lifetime, 24/7 access
- Professional-grade video lessons
- Certificate of completion
- Closed captions