Lecture 2: Unlocking the Power of the Universal Approximation Theorem 🔍
Discover the fundamentals of the Universal Approximation Theorem in this lecture from Carnegie Mellon's Deep Learning course. Perfect for understanding how neural networks approximate complex functions!
About this video
Course: 11-785, Intro to Deep Learning
Offering: Fall 2019
For more information, please visit: http://deeplearning.cs.cmu.edu/
Contents:
• Neural Networks as Universal Approximators
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