STAT 6685 - Deep Learning Theory and Applications

Institution:

Utah State University

Subject:

Statistics

Description:

regularization, and universality. Topics include CNNs, GANs, RNNs, GCNs, autoencoders, transformers, and other modern architectures and training techniques. Additional coursework is required for those enrolled in the graduate-level course. Prerequisite Recommendation(s): The following courses or their equivalents are necessary to succeed in this course: MATH 1220; MATH 2270 or MATH 5645/STAT 5645 or MATH 6645/STAT 6645; STAT 3000 or MATH 5710; Programming experience, preferably in Python, is also necessary to succeed in this course Dual-listed as: STAT 5685 Repeatable for credit: No Grade Mode: Standard

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.usu.edu

Phone Number:

(435) 797-1000

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

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