Welcome to CS 545!
In this course you will learn the theory and practice of deep learning, from linear and logistic regression to the transformer architecture behind modern language models. Nothing stays hidden: every component is implemented in full, in notebooks you can read, run and take apart. You will train a small language model from scratch and watch fluent English emerge from it, adapt a pretrained model to a new task, and develop a sense of which architecture a problem actually calls for.
