CS 5353 - Deep Learning

Institution:

University of Utah

Subject:

Computer Science

Description:

Foundations and details of deep learning, with implementations and applications. Students learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in machine learning applications, such as computer vision and natural language processing. Covers learning algorithms, neural network architectures, validation/evaluation of performance, and practical engineering tricks for training and fine-tuning networks for tasks such as object recognition and language translation. Prerequisites: 'C-' or better in (CS 3500) AND 'C' or better in ((MATH 1311 AND MATH 1321) OR MATH 2210) AND Full Major status in Computer Science OR Software Development OR Data Science

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utah.edu

Phone Number:

(801) 581-7200

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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