the left side that's where a model is under fit so we haven't reached the true capacity of our model yet so we'd want to keep training if we didn't stop yet if we did stop already and on the right side is where we've over fit where we've passed that early stopping point and we need to like basically we've started to memorize some of our training did and that's when we've gone too far I'll conclude this lecture by just summarizing three main points that we've covered so far first we've learned about the fundamentals of neural networks