CS 553 - Neural Networks

Units: 3

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

Prerequisite(s): CS 210 and MATH 254.

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.

Maximum Credits: 3