CS 5787

Deep Learning

Course Description

Course information provided by the 2025-2026 Catalog.

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.

Prerequisites REF-FA25/Corequisites REF-FA25 CS 5785, ECE 5414, ORIE 5750. Corequisites: None.

Enrollment Priority REF-FA25 Enrollment limited to: Cornell Tech students.

Last 4 terms offered (None)

View Enrollment Information