Tag: heaviside

On the expressivity of deep Heaviside networks arXiv:2505.00110v1 Announce Type: new Abstract: We show that deep Heaviside networks (DHNs) have limited expressiveness but that this can be overcome by including either skip connections or neurons with linear activation. We provide lower and upper bounds for the Vapnik-Chervonenkis (VC) dimensions and approximation rates of these network…