Dec 06, 2025  
2022-2023 Graduate Catalog 
    
2022-2023 Graduate Catalog [ARCHIVED CATALOG]

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CIS 532 - Introduction to Deep Learning

Credits: 3

Foundations of deep learning, with focus on different types of modern neural network architectures (such as convolutional neural networks, recurrent neural networks, and transformers). Regularization and optimization in the context of deep learning. Frameworks and tools for building and training deep neural networks.

Note:
Not available for credit to students with credit in CIS 831.

Repeat for Credit
N

Requisites:
Prerequisite: CIS 530 or CIS 533

Typically Offered
Fall



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