HenkvdPol/ReLU-Network-for-KA-approximation

given beta-holder continuous function f:[0,1]^d -> R, this deep ReLU network approximates f up to approximation rate of 2^(-K beta) using 2^Kd parameters. Here, K is a set positive integer and d the dimension.

Language: Python - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0