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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.
WHO CAN TAKE THESE COURSES?
We start with the absolute basics and go through everything step-by-step – so even if you have zero experience in programming, you’ll be able to easily follow along.
More experienced? Whether you’re wanting to brush up, expand your skills, or learn a new technology, our courses are structured in a way that makes it easy to skip ahead to the lessons that are relevant and interesting to you.
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Reinforce key concepts with in-course quizzes, which appear throughout courses:
COURSES BY THE WORLD’S BEST
Our course instructors aren’t just fun to learn from – they’re also serious gamers, qualified coders, and have been formally certified by Unity Technologies and CompTIA for their excellent programming and teaching skills. That way, you can be confident that you’re developing strong, modern skills that will set you up for success as a game developer.
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I love the lectures, concise course objectives, and how they not only teach you enough to get started, but prepare you for the advanced stuff later down the road.
With Zenva, I started learning a more accurate way to approach problems and develop solutions. It’s full of interesting topics that I love to learn in conjunction with my work.
I chose Zenva because of the large selection of topics and the fact that I can choose what courses I want to take whenever I want to take them. That level of freedom is unique to Zenva.
The Unity courses at Zenva helped me achieve a level of comfort with game development that I didn’t think was possible. They give you the confidence to expand your skills, and were so easy to understand.