CS 4782
Last Updated
- Schedule of Classes - June 8, 2025 7:22PM EDT
- Course Catalog - June 8, 2025 7:07PM EDT
Classes
CS 4782
Course Description
Course information provided by the 2024-2025 Catalog.
This class is an introductory course to deep learning. It covers the fundamental principles behind training and inference of deep networks, the specific architecture design choices applicable for different data modalities, discriminative and generative settings, and the ethical and societal implications of such models.
Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent and CS 3780 or ECE 4200 or STSCI 3740 and CS 1110 or CS 1112.
When Offered Spring.
Regular Academic Session. Choose one lecture and one project. Combined with: CS 5782
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Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 21 - May 6, 2025
Instructors
Sun, J
Weinberger, K
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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