Recurrent neural networks approximate continuous functions

Valentin Abadie, Clemens Hutter, Helmut Bölcskei

Classical approximation theorems ask for a new neural network whenever the target accuracy is improved. This paper studies the opposite possibility: can the network be chosen once…