16 Intro to Deep Learning Part3: Universal Approximation Theorem

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Animated Explanation of Universal Approximation Theorem
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Good explanation. I understood superbly.

srinivasadineshparupalli
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Angle intensity not layered grbybw scale .

RandallLangford-gg
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thanks for making it easy to understand

yatinarora
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Human robotics 2d3d north propelled west +-=-+

RandallLangford-gg
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omg thanks a lot Dr, you saved my ass, you have really are a master which is how you could explain this in such a clear way. thanks a lot!

ftofmisery
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Thank you so much for clear explanation.
I have a question.
Are there any requirements for the input vector x? It seems that x is a vector whose elements are in the domain of the function we want to approximate, and that the elements are sufficiently densely located with a small interval.
I guess that the interval of x affects the resolution of the output or how smooth the output is. Am I understanding correctly?

XB-rtiq