Universal Approximation in Dropout Neural Networks

Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies +2

We prove two universal approximation theorems for a range of dropout neural networks. These are feed-forward neural networks in which each edge is given a random $\{0,1\}$-valued f…