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The Challenges of Training Infinitely Large Neural Networks

Offered By: Broad Institute via YouTube

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Neural Networks Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Gradient Descent Courses Computational Complexity Courses Kernel Methods Courses Statistical Learning Theory Courses

Course Description

Overview

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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.

Syllabus

EWSC: The challenges of training infinitely large neural networks, Mikhail Belkin


Taught by

Broad Institute

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