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Online honors degree
Earn an honors baccalaureate degree alongside any undergraduate degree program.
Ecampus Schedule of Classes - Fall 2025
CS 435 – Applied Deep Learning (4)
Explores and applies several neural network architectures, including fully-connected, convolutional, and sequence model based network structures. Topics including gradient descent and optimization, feed forward and back propagation methods, loss functions, activation functions, training, testing, and validation of the networks, as well as other types of advanced networks. Applications including areas such as text sentiment analysis, image classification, and language translation. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
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Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
F25 | 19866 | 400 | 4 | Gates, A. | Online | Open | 122 | 122 | 0 | 0 | |
Registration Restrictions Enforced Prereqs: CS 332 [C] and (CS 432 [C] or CS 434 [C] or CS 434H [C] ) Major Restrictions: +307 (Computer Science) Campus Restrictions: +DSC (Dist. Degree Corvallis Student) College Limitations: +16 (Engr) | |||||||||||
Class Notes: Campus restrictions for this section end Monday of Week 10.This course requires online proctored testing, which mayinclude testing fees and the use of security measures, suchas a scan of your testing environment. Please carefullyreview online proctor test information at: | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Computer Science syllabi may also be found on the College of Engineering Course and Syllabus List. |
View CS 435 for all available terms
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Summer term starts June 23.
Fall term starts Sept. 24.