IE 534

IE 534 - Deep Learning

Fall 2024

Title	Rubric	Section	CRN	Type	Hours	Times	Days	Location	Instructor
Deep Learning	CS547	D	72236	LEC	4	0800 - 0920	T R	1320 Digital Computer Laboratory	Richard B Sowers
Deep Learning	CS547	ONL	77532	ONL	4	0800 - 0920	T R		Richard B Sowers
Deep Learning	IE534	D	70295	LEC	4	0800 - 0920	T R	1320 Digital Computer Laboratory	Richard B Sowers
Deep Learning	IE534	ONL	77514	ONL	4	0800 - 0920	T R		Richard B Sowers

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Web Page

https://canvas.illinois.edu/courses/48859

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.