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 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.