Computer Engineering

CPEN 455

Deep Learning

4 credits

Fundamentals of deep learning, including architectures (e.g., MLPs, CNNs, RNNs, Transformers, and GNNs) and learning algorithms under different paradigms (supervised / unsupervised / reinforcement learning). Emphasis on design principles and motivating applications. Recommended pre-requisite: CPEN_V 355 or CPSC_V 340.