Basics of Modern Deep Learning: Transformer - College of Engineering - Purdue University

This section introduces why transformers replaced CNNs and RNNs at scale. It explains self-attention, encoder–decoder structure, and parallel computation. You will see how transformers enable stable training and strong generalization.