YoVDO

Open Problems in the Theory of Deep Learning - Panel Discussion

Offered By: MITCBMM via YouTube

Tags

Deep Learning Courses Artificial Intelligence Courses Neural Networks Courses Computational Complexity Courses Algorithmic Bias Courses Representation Learning Courses Generalization Courses Statistical Learning Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Engage in a thought-provoking panel discussion exploring unresolved challenges in deep learning theory. Join moderator Brian Cheung from MIT as he leads a distinguished panel of experts, including Tomaso Poggio (MIT), Jacob Andreas (MIT), Eran Malach (Harvard University), and Santosh Vempala (Georgia Tech). Delve into cutting-edge topics and gain insights into the current state of deep learning research during this hour-long intellectual discourse.

Syllabus

Panel Discussion: Open Problems in the Theory of Deep Learning


Taught by

MITCBMM

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent