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CS 553 - Neural Networks

CS 553: Neural Networks (3 units) at San Diego State University. Not offered in Spring 2027. Prerequisites: CS 210 and MATH 254. Counts toward Artificial Intelligence and Technology, M.S. (2026-27), Computational Science, Data Science Concentration, M.S. (2026-27).

3 units
  • Intelligent Systems
  • Elective Courses (9 Units Selected From)
  • Core Requirements
  • Areas of Study
  • Intelligent Systems
Offered: Summer 2027 (not offered), Spring 2027 (unknown), Fall 2026 (offered)
Computer algorithms and methods for neural networks. Convolutional networks, feedforward networks, generative adversarial networks, graphical neural networks, recurrent neural networks; backward propagation, computational graph, regularization, stochastic gradient descent; autoencoder networks and deep structure models.
Prerequisites
CS 210 and MATH 254.
See the full prerequisite chain

From the catalog

Grading
LTR: Letter Graded. The class will be offered for letter grade with no option to take it for Cr/NC
Repeatable
Maximum 3 units.

0 sections in Spring 2027

CS 553 is not offered in Spring 2027. Check all CS classes for other terms.