CS 4782

CS 4782

Course information provided by the 2025-2026 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 CS 2110 or equivalent and CS 3780 or ECE 4200 or STSCI 3740 and CS 1110 or CS 1112.

Last 4 Terms Offered 2025SP, 2024SP

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 5782

  • 4 Credits Opt NoAud

  •  7192 CS 4782   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Sun, J

      Weinberger, K

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7193 CS 4782   PRJ 601

    • Jan 20 - May 5, 2026
    • Sun, J

      Weinberger, K

  • Instruction Mode: In Person