arXiv cs.NE
· Papers
Function approximation and nonparametric regression with binary and ternary ReLU networks
arXiv:2206.13280v4 Announce Type: replace Abstract: We show that deep binary ReLU networks and deep sparse ternary ReLU networks can approximate $beta$-H"older functions on $[0,1]^d$. We also show that deep sparse ternary ReLU networks can achieve, up to a logarithmic factor, the minimax rate of prediction of $beta$