Understanding the Universal Approximation Theorem 📚 | Deep Learning Lecture 2
Dive into Lecture 2 of Carnegie Mellon's Deep Learning course to grasp the Universal Approximation Theorem and its significance in neural networks. Complete slides available here: http://deeplearning.cs.cmu.edu/slides.spring19/lec2.universal...
Carnegie Mellon University Deep Learning
7.7K views • Jan 18, 2019
About this video
Carnegie Mellon University
Course: 11-785, Intro to Deep Learning
Offering: Spring 2019
Slides: http://deeplearning.cs.cmu.edu/slides.spring19/lec2.universal.pdf
For more information, please visit: http://deeplearning.cs.cmu.edu/
Content:
• The neural net as a universal approximator
Course: 11-785, Intro to Deep Learning
Offering: Spring 2019
Slides: http://deeplearning.cs.cmu.edu/slides.spring19/lec2.universal.pdf
For more information, please visit: http://deeplearning.cs.cmu.edu/
Content:
• The neural net as a universal approximator
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Jan 18, 2019
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