CS 5782

Last Updated

  • Schedule of Classes - September 22, 2025 1:06PM EDT

CS 5782
Introduction to Deep Learning

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 ECE 4200, STSCI 3740, CS 1110, CS 3780, and CS 2110.

Last 4 Terms Offered 2025SP

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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 4782

  • 4 Credits Opt NoAud

  •  9401 CS 5782   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/

  •  9402 CS 5782   PRJ 601

  •  
    • Jan 20 - May 5, 2026

    • Sun, J

      Weinberger, K

  • Instruction Mode: In Person