CS 5787

Last Updated

  • Schedule of Classes - February 7, 2022 11:35AM EST
  • Course Catalog - January 18, 2022 1:31PM EST

CS 5787
Deep Learning

Course information provided by the Courses of Study 2021-2022.

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.

When Offered Spring.

Permission Note Enrollment limited to: Cornell Tech students.
Prerequisites/Corequisites Prerequisite: CS 5785/ECE 5414/ORIE 5750.

View Enrollment Information

Syllabi: none

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

  • 3 Credits Stdnt Opt

  • 10570 CS 5787   LEC 030

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  • Instruction Mode: Online
    Taught in NYC. Enrollment Limited to Cornell Tech Students only.

  • 10571 CS 5787   DIS 230

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  • Instruction Mode: In Person
    Taught in NYC. Enrollment Limited to Cornell Tech Students only.