Approximation Power
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore the concept of approximation power in deep learning through this lecture by Matus Telgarsky from the University of Illinois, Urbana-Champaign. Delve into the theoretical foundations and practical implications of approximation techniques in neural networks as part of the Deep Learning Boot Camp at the Simons Institute. Gain insights into how these methods contribute to the effectiveness and efficiency of deep learning models across various applications.
Syllabus
Approximation Power
Taught by
Simons Institute
Related Courses
Sparse Representations in Signal and Image Processing: FundamentalsTechnion - Israel Institute of Technology via edX Filters and Other Potions for Early Vision and Recognition
MITCBMM via YouTube ADSI Summer Workshop- Algorithmic Foundations of Learning and Control, Pablo Parrilo
Paul G. Allen School via YouTube A Function Space View of Overparameterized Neural Networks - Rebecca Willet, University of Chicago
Alan Turing Institute via YouTube Approximation with Deep Networks - Remi Gribonval, Inria
Alan Turing Institute via YouTube