ITAI 2376 - Deep Learning in Artificial Intelligence (A I)

Credits: 3

This is an intermediate course about the different deep learning methods with specific emphasis on control systems and autonomous driving and deeper learning applications like Large Language Models. The course will help students use a variety of neural network devices that speed the use of Deep Learning on smaller practice platforms as well as participate in on-line competitions like MIT’s Deep Traffic. Deep Learning is an important part of the new Generative A.I. infrastructures being built in every industry. This course is about how to apply Deep Learning models in a variety of industries.

Lecture: 2
Lab: 4
Prerequisite(s): MATH 1314, ITAI 1370, ITAI 1371, ITAI 1372, ITAI 2373, ITSE 1346.