Computer Science · Fall 2026, Winter 2027, Spring 2027, & Summer 2027
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.