Machine Learning Seminar Series
Abstract:
In this talk, we will first go over the PyTorch deep learning framework, it's architecture, code and new research paradigms that it enables.After that, we shall go over latest developments in Generative Adversarial Networks, and introduce Wasserstein GANs -- a reformulation of GANs that is more stable and fixes optimization problems that traditional GANs face.
Bio:
Dr. Soumith 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 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.
