CS 478 - Deep Learning

Units: 3

Explores fundamental concepts including clustering and classification, logistic regression, linear regression, Support Vector Machines, and a variety of neural networks, including convolutional neural networks, recurrent neural networks, and memory-augmented neural networks. Investigates advanced machine learning topics including generative adversarial networks and deep reinforcement learning. Applies cutting-edge machine learning and deep learning techniques to address domain problems.
Recommended Preparation: MATH 374 or MATH 264; MATH 260; and MATH 342. Cross-listed: AI 478 and CS 478 are cross-listed. Students may not receive credit for both.

Prerequisite(s): AI 330 or (CS 311 and either MATH 264 or MATH 364 or MATH 374 ).