Universal Approximation Theorem

Creator
Creator
Seonglae ChoSeonglae Cho
Created
Created
2023 Apr 27 1:43
Editor
Edited
Edited
2023 Jun 13 5:48
Refs
Refs

at least 1 hidden layer

Any continuous function can be approximated arbitrarily well by a neural network with at least 1 hidden layer with a finite number of weights
One wide (latent) layer is enough, but it is just a memorizer (Cybenko ’89)
 
 
 
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