Optimizing number of iterations of the training loop, getting strange results. A small change in loops results in large change in correct predictions, by orders of magnitude. And it’s not consistent. There seems to be no clear relationship between this hyperparameter and actual results. I’m going to have to work out how to get a little less variability in my results when trying to optimize.