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Course Prefix: CSE   Course #: 676   Keywords:     showing 0 to 1

CSE 676LEC Deep Learning

Lecture

Deep Learning algorithms learn multi-level representations of data, with each level explaining the data in a hierarchical manner. Such algorithms have been effective at uncovering underlying structure in data, e.g., features to discriminate between classes. They have been successful in many artificial intelligence problems including image classification, speech recognition and natural language processing. The course, which will be taught through lectures and projects, will cover the underlying theory, the range of applications to which it has been applied, and learning from very large data sets. The course will cover connectionist architectures commonly associated with deep learning, e.g., basic neural networks, convolutional neural networks, and recurrent neural networks.

Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall
Requisites: Pre-Requisite: CSE 474 or CSE 574.
Visit the Office of the Registrar’s Class Schedules page for more detailed and updated information.
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Published: May 23, 2022 11:45:07