Fixed my batch training, my loss calculation was off. Also added weight saving so I dont have to retarin everytime I want to test. And of course seperated test from train! Although it still runs preetry slow 50s train runtime…. I will experinment with different batch sizes, training sizes, number of neurons, learning rates soon. I might also do a version with numpy, my original goal was to not use any libraries to learn the fundementals, but numpy is much faster than python list so I might use that to reduce runtime in a seperate version to see how much of a difference it makes!