IE 598 JS2

IE 598 JS2 - Deep Learning II

Spring 2018

Deep Learning IIIE598JS267121LEC40930 - 1050 T R  106B3 Engineering Hall Justin A Sirignano

Official Description

Subject offerings of new and developing areas of knowledge in industrial engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: Approved for letter and S/U grading. May be repeated in the same or separate terms if topics vary.

Section Description

Prerequisites: IE 598 Deep Learning or equivalent. Students should contact the instructor, Justin Sirignano (, if interested in enrolling in this course. This is a project course. Students will work in small teams on deep learning applications in (1) reinforcement learning, (2) image recognition, or (3) high-frequency models of financial markets. The course will provide an introduction to distributed training of neural networks and Distributed TensorFlow. GPU hours will be provided to the class.