CS 5788
Last Updated
- Schedule of Classes - January 5, 2026 3:59PM EST
Classes
CS 5788
Course Description
Course information provided by the 2025-2026 Catalog.
An in-depth introduction to deep generative models. This course covers the mathematical foundations of generative models and their implementation as deep neural networks. Topics include diffusion models, variational autoencoders, generative adversarial networks, and network architectures for generation. These topics will be discussed in the context of applications in computer vision and natural language processing.
Enrollment Priority Enrollment limited to: Cornell Tech students.
Last 1 Terms Offered (None)
Regular Academic Session.
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
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TR
Bloomberg Center 131
Cornell Tech - Jan 20 - May 5, 2026
Instructors
Owens, A
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TR
Bloomberg Center 131
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Additional Information
Instruction Mode: In Person
Enrollment limited to: Cornell Tech students.
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