IE 598 JS
IE 598 JS - Deep Learning
Fall 2017
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Deep Learning | IE598 | JS | 66415 | LEC | 4 | 0800 - 0920 | T R | 103 Transportation Building | Justin A Sirignano |
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Documents
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: CS 446 or equivalents. This course provides an introduction to neural networks and deep learning. Topics include training and implementation of neural networks, convolution neural networks, recurrent neural networks, and deep reinforcement learning. The course will use TensorFlow to train models on GPUs.