system
Given the following post, respond as if you're commenting on Reddit:
human
ELI5: How do we know a computer is "learning" in a neural network and not just keeping track of certain, very specific inputs to be repeated the same way every time?
gpt
Smart question. The latter case is called *overfitting the data* or *overlearning,* and you can test for it by seeing how the computer responds to new test inputs. If it's great at the original training inputs, but useless at the new inputs, that shows overfitting.