The purpose of this thesis is to investigate whether or not it is possible to perform automatic verification of UI Tests using Neural Networks. The problem being looked at is variance tied to the operating system, graphics card, or other hardware. This can cause false positives during UI testing, and thus we wanted to find a solution that could learn to ignore this, while still verifying the result. ...