Build Jamie - A Facial Recognition AI

Build Jamie – A Facial Recognition AI


Product Description

This title is part of the Python Mini-Degree – 12 Courses to Learn and Master Python

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 Mini-Degree

The Python Mini-Degree is a bundle of 12 online video courses, that go all the way from teaching you how to code in Python while making a game, to building your own Artificial Intelligence (AI) and Internet of Things (IoT) applications using Computer Vision, Machine Learning and Deep Learning.

Learn more and enroll HERE.


Course Requirements

This course builds up on the concepts covered in our course Build Lorenzo - A Face Swapping AI.

You need to have Python 2.7 installed.

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.