close to each other so and that's exactly why the objective of an auto encoder is to minimize the loss function now what the loss function means is that you want to reduce and minimize the error between your input and your output the way that these neural networks are trained they are trained through back propagation and what that means is that is the recursive process such that it's able to minimize the error between your input and your output and also something just really interesting but I think maybe you might find interesting what I