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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.
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CS 440 (Introduction to Artificial Intelligence)
Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.
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