The Future of Deep Learning: Challenges & Solutions

Abstract

Mark will begin with a brief overview of deep learning and what has led to its recent popularity. He will provide a few demonstrations and examples of deep learning applications based on recent work at Intel Nervana. He will explain some of the challenges to continued progress in deep learning - such as high compute requirements and lengthy training time - and will discuss some of the solutions (e.g. custom deep learning hardware) that Intel Nervana is developing to usher in a new era of even more powerful AI.