We show that deep binary ReLU networks and deep sparse ternary ReLU networks can approximate $β$-Hölder 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 $β$-smooth regression function.

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