A Quantifier-Reversal Approximation Paradigm for Recurrent Neural Networks

Clemens Hutter, Valentin Abadie, Helmut Bölcskei

Classical neural network approximation results take the form: for every function $f$ and every error tolerance $\epsilon >0$, one constructs a neural network whose architecture and weight…