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Approximation Power

Offered By: Simons Institute via YouTube

Tags

Deep Learning Courses Machine Learning Courses Theoretical Computer Science Courses Approximation Theory Courses

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

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