IE 534 - Deep Learning

Fall 2022

Deep LearningCS547D72236OLC40800 - 0920 T R    Richard B Sowers
Deep LearningCS547ONL77532ONL40800 - 0920 T R    Richard B Sowers
Deep LearningIE534D70295OLC40800 - 0920 T R    Richard B Sowers
Deep LearningIE534ONL77514OLC40800 - 0920 T R    Richard B Sowers

Official Description

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. Course Information: Same as CS 547. 4 graduate hours. No professional credit. Credit is not given for both IE 534 and IE 434. Prerequisite: CS 446 or equivalent. Graduate students only.