Online Course Catalog
IE 534 ONL - Deep Learning
Fall 2022
| Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|
| Deep Learning | ONL | 77514 | OLC | 4 | 0800 - 0920 | T R | Richard B Sowers |
Course Description
This course provides an introduction to neural networks and recent advances in deep learning. Topics include training and implementation of neural networks, convolution neural networks, recurrent neural networks (LSTM and gated recurrent), residual networks, reinforcement learning, and Q-learning with neural networks. A part of the course will especially focus on recent work in deep reinforcement learning. The course will also cover deep learning libraries (e.g., Chainer, Tensorflow) and how to train neural networks using GPUs and GPU clusters.
Credit Hours
4 hours
Prerequisites
Undergraduate degree and CS 446 or equivalent.
Subject Area
- Industrial and Enterprise Systems Engineering