Training neural networks using Metropolis Monte Carlo and an adaptive variant

Stephen Whitelam, Viktor Selin, Ian Benlolo +2

We examine the zero-temperature Metropolis Monte Carlo algorithm as a tool for training a neural network by minimizing a loss function. We find that, as expected on theoretical gro…