CS 5787
Last Updated
- Schedule of Classes - December 1, 2024 7:42PM EST
- Course Catalog - December 1, 2024 7:07PM EST
Classes
CS 5787
Course Description
Course information provided by the Courses of Study 2024-2025.
Students will learn deep neural network fundamentals, including, but not limited to, feed-forward neural networks, convolutional neural networks, network architectures, optimization methods, practical issues, recurrent neural networks, transformers, generative models, foundation models, current limitations of deep learning, and visualization techniques. We still study applications to problems in computer vision and to a lesser extent other domains such as natural language and audio processing.
When Offered Fall.
Permission Note Enrollment limited to: Cornell Tech students.
Prerequisites/Corequisites Prerequisite: CS 5785, ECE 5414, ORIE 5750.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
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TR
Bloomberg Center 131
Cornell Tech - Aug 26 - Dec 9, 2024
Instructors
Elor, H
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TR
Bloomberg Center 131
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Additional Information
Instruction Mode: In Person
Enrollment limited to: Cornell Tech students.
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