This video is part of the Machine Intelligence Summit, New York, 2016 Event. If you would like to access all of the videos please click here.

Unsupervised Learning Using Adversarial Networks

Unsupervised learning has become one of the most important problems in AI. In this talk I will give an overview of unsupervised learning with a powerful learning method called Generative Adversarial Networks, and talk about it’s applications.

Soumith Chintala, Research Engineer at Facebook AI Research

Soumith Chintala is a Researcher at Facebook AI Research, where he works on deep learning, reinforcement learning, generative image models, agents for video games and large-scale high-performance deep learning. Prior to joining Facebook in August 2014, he worked at MuseAmi, where he built deep learning models for music and vision targeted at mobile devices. He holds a Masters in CS from NYU, and spent time in Yann LeCun's NYU lab building deep learning models for pedestrian detection, natural image OCR, depth-images among others.

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