Publication Date



Technical Report: UTEP-CS-20-53


A neural network is a general term for machine learning tools that emulate how neurons work in our brains.

Ideally, these tools do what we scientists are supposed to do: we feed them examples of the observed system's behavior, and hopefully, based on these examples, the tool will predict the future behavior of similar systems. Sometimes they do predict -- but in many other cases, the situation is not so simple.

The goal of this entry is to explain what these tools can and cannot do -- without going into too many technical details.