CS 5782

Last Updated

  • Schedule of Classes - November 19, 2024 7:51PM EST
  • Course Catalog - November 19, 2024 7:07PM EST

CS 5782
Introduction to Deep Learning

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.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Opt NoAud

  • 20180 CS 5782   LEC 001

  •  
    • TR
    • Jan 21 - May 6, 2025

    • 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/

  • 20181 CS 5782   PRJ 601

  •  
    • TBA
    • Jan 21 - May 6, 2025

    • Sun, J

      Weinberger, K

  • Instruction Mode: In Person