CS 5777
Last Updated
- Schedule of Classes - June 11, 2025 2:48PM EDT
Classes
CS 5777
Course Description
Course information provided by the 2025-2026 Catalog.
An introduction to the mathematical and algorithms design principles and tradeoffs that underlie large-scale machine learning on big training sets. Topics include: stochastic gradient descent and other scalable optimization methods, mini-batch training, accelerated methods, adaptive learning rates, parallel and distributed training, and quantization and model compression.
Last 3 terms offered 2023FA, 2022FA
Regular Academic Session. Combined with: CS 4787
-
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Aug 25 - Dec 8, 2025
Instructors
De Sa, C
-
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/
Share
Disabled for this roster.