Computer Science · Fall 2026
SDSU CS 553 — Neural Networks
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.
Course requirements
Prerequisites: CS 210 and MATH 254.
- CS 210 and MATH 254.
Fall 2026 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 8674 Lrg Lect | In person | Open | 47 / 60 | Tue/Thu 4:00 PM–5:15 PM | COM 207 | Salimeh Sekeh | 3.7/5 · 3 reviews Difficulty 4.7 · 75% take again |