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New Advances in Face Recognition

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If you have a question about this talk, please contact Tadas Baltrusaitis.

Machine learning technologies are entering our lives at a great pace. A growing number of universities and businesses are employing machine learning to problems such as speech recognition, visual object classification, and face recognition to name a few.

Deep learning forms a particularly successful set of machine learning algorithms that can solve previously intractable problems with a high degree of accuracy, outperforming most previous approaches. In this lecture I will provide a summary of deep learning algorithms with a particular focus on supervised learning. I will illustrate the algorithms with a real-world case study of Facebook’s DeepFace system that reaches human level performance in the task of face recognition. By the end of the lecture you will understand the steps needed to train and use such algorithms.

This talk is part of the Computer Laboratory Research Students' Lectures 2014 series.

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