Explore the challenges of training infinitely large neural networks in this 1-hour 6-minute colloquium presented by Mikhail Belkin at the Broad Institute of MIT and Harvard. Delve into the intersection of machine learning and biomedical research as part of the EWSC-MIT EECS Joint Colloquium Series. Gain insights into how cutting-edge work in neural networks drives novel approaches to pressing biomedical questions, while simultaneously spurring foundational advances in machine learning. Learn about the latest developments in this field and their potential impact on both artificial intelligence and biomedical research. Discover how the Eric and Wendy Schmidt Center at the Broad Institute and AI+D within MIT's Department of Electrical Engineering and Computer Science collaborate to bring together experts in these interdisciplinary areas.
The Challenges of Training Infinitely Large Neural Networks
Overview
Syllabus
EWSC: The challenges of training infinitely large neural networks, Mikhail Belkin
Taught by
Broad Institute
