CS 5787

Last Updated

  • Schedule of Classes - September 9, 2021 7:14PM EDT
  • Course Catalog - September 9, 2021 7:15PM EDT

CS 5787
Deep Learning

Course information provided by the 2020-2021 Catalog.

Students will learn deep neural network fundamentals, including, but not limited to, feed-forward neural networks, convolutional neural networks, network architecture, optimization methods, practical issues, hardware concerns, recurrent neural networks, dataset acquisition, dataset bias, adversarial examples, current limitations of deep learning, and visualization techniques. We still study applications to problems in computer vision and to a lesser extent natural language processing and reinforcement learning. There will also be a session on understanding publications in deep learning, which is a critical skill in this fast moving area.


Prerequisites/Corequisites Prerequisite: CS 5785/ECE 5414/ORIE 5750.

Permission Note Enrollment limited to: Cornell Tech students.

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 3 Credits Stdnt Opt

  • 19189 CS 5787   LEC 001

  • Instruction Mode: Online

    Enrollment limited to Ithaca CS MEng Only; Prerequisite: CS 4780. Instructor Permission Required. Class will be streamed from Cornell Tech to Ithaca Students.

    Department Consent Required (Add)

  • 19188 CS 5787   DIS 201

  • Instruction Mode: Online

    Department Consent Required (Add)

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 3 Credits Stdnt Opt

  • 11708 CS 5787   LEC 030

  •  

  • Instruction Mode: Online

    Taught in NYC. Enrollment Limited to Cornell Tech Students. Pre-Requisite: Students must have taken Applied Machine Learning.

  • 11709 CS 5787   DIS 230

  •  

  • Instruction Mode: Online