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.
Overview
Syllabus
Approximation Power
Taught by
Simons Institute
