DLSYS-COURSE.GITHUB.IO

Over the past few years, deep learning has become an important technique to successfully solve problems in many different fields, such as vision, NLP, robotics. An important ingredient that is driving this success is the development of deep learning systems that efficiently support the task of learning and inference of complicated models using many devices and possibly using distributed resources. The study of how to build and optimize these deep learning systems is now an active area of research and commercialization, and yet there isn't a course that covers this topic... This course is designed to fill this gap. We will be covering various aspects of deep learning systems, including: basics of deep learning, programming models for expressing machine learning models, automatic differentiation, memory optimization, scheduling, distributed learning, hardware acceleration, domain specific languages, and model serving. Many of these topics intersect with existing research directions in..