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CSCI 4760
Deep Learning

Course Description

An exploration of multi-layered machine learning architectures as applied to problems in a variety of domains. The course will study various network architectures including deep feed-forward, convolutional and recurrent networks, and uses in both supervised and unsupervised learning. Students will implement solutions in different problem domains, and learn to effectively manage practical and domain-specific issues that affect model performance.

Prerequisite(s):

CSCI 4750

Offerings

Spring 2022Abby Stylianoutba