Deep Learning

0.5 credits · Undergraduate

This course introduces students to the industry-shaping field of deep learning. The course covers deep directly connected artificial neural networks, CNNs, RNNs, LSTMs, and Attention-based neural networks. Students also learn about explainable AI techniques such as LIME, and advanced methods such as zero-shot, one-shot, and few-shot learning. Prerequisite: MATH 1110H, 1350H, and 1550H; and one of AIST 2010H or AIST-COIS 3550H.