A Unified Framework to Calculate Every Deep Learning Architecture by Hand
Guest Speaker: Dr. Tom Yeh, Associate Professor in the Department of Computer Science and Principal Investigator at the Imagine AI Lab at the University of Colorado Boulder
Moderated by Dr. Reza Rawassizadeh, Associate Professor of CS and Eugene Pinsky, Associate Professor of the Practice, Computer Science; Coordinator, Software Development
Friday, September 13, 2024 at 10:00 AM EST
Abstract: I will present AI by Hand, a new framework I developed to demonstrate the core calculations of a wide range of deep learning architectures by hand, including basic building blocks such as artificial neuros and multi-layer perceptron, well-known architectures such as the transformer,, and state-of-art architectures such as the Diffusion Transformer and the Switch Transformer.
Bio: Prof. Tom Yeh leads the Imagine AI Lab at the University of Colorado Boulder. His research and teaching spans AI, HCI, Education, Ethics, and Neuroscience. He published more than 150 papers. He is the author of the popular AI by Hand ✍️ series, with by more than 70K followers across LinkedIn and X. At his university, Prof. Tom Yeh received several awards, including the Student Affair Faculty of the Year Award.