2024-25 Undergraduate Catalog

CS 335 Neural Networks

This course covers basic neural network architectures and learning algorithms, for applications in pattern recognition, image processing, and computer vision. Three forms of learning will be introduced (i.e., supervised, unsupervised and reinforcement learning) and applications of these will be discussed.

Credits

3

Prerequisite

CS 330

Distribution

Math & Science

Offered

Spring