Exercises in amazement: Discovering deep learning

MIT News 

It was standing-room only in the Stata Center's Kirsch Auditorium when some 300 attendees showed up for opening lectures for MIT's intensive, student-designed course 6.S191 (Introduction to Deep Learning). Nathan Rebello, a first-year graduate student in chemical engineering, was among those who were excited about the class, coordinated by Alexander Amini '17 and Ava Soleimany '16 during MIT's Independent Activities Period (IAP) in January. "I hope to go into either industry or academia and to apply deep learning techniques for the design of new materials," Rebello says. He signed up for 6.S191 to learn more about deep learning with the intention of applying it to the design of bio-inspired polymeric materials, adding: "I also wanted to network with students and faculty to explore their ways of thinking on this topic." There were plenty of people available for networking.