Introduction to Artificial Neural Networks covering theory and applications including MLPs, CNNs, RNNs, SVMs, and genetic algorithms for control, pattern recognition, and object detection.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Fall 2022–Spring 2026