The reason it’s okay to be deterministic and wrong in engineering is because it’s a lot easier to explain the conditions under which the wrong result will be pr

The reason it’s okay to be deterministic and wrong in engineering is because it’s a lot easier to explain the conditions under which the wrong result will be produced and how you can identify those situations in the specific photo. The reason I think a simple resize that deterministically adds misinformation is better than a neural network is because I can calculate the bounds under which the algorithm produces wrong information and label the image. And I can do that without running the algorithm.