CS 5782
Last Updated
- Schedule of Classes - December 8, 2024 7:33PM EST
- Course Catalog - December 8, 2024 7:07PM EST
Classes
CS 5782
Course Description
Course information provided by the Courses of Study 2024-2025.
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.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: ECE 4200, STSCI 3740, CS 1110, CS 3780, and CS 2110.
Outcomes
- Demonstrate the ability to perform neural network training and inference.
- Identify the correct neural network architecture choices for a given data modality.
- Implement a working deep learning pipeline for vision and language tasks.
Regular Academic Session. Choose one lecture and one project. Combined with: CS 4782
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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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