Measuring training variability from stochastic optimization using robust nonparametric testing

Sinjini Banerjee, Tim Marrinan, Reilly Cannon +2

Deep neural network training often involves stochastic optimization, meaning each run will produce a different model. This implies that hyperparameters of the training process, suc…