G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks

Alireza Aghasi, Nicholas Marshall, Saeid Pourmand +1

We propose a novel randomized algorithm for constructing binary neural networks with tunable accuracy. This approach is motivated by hyperdimensional computing (HDC), which is a br…