An Artificial Neural Network is a framework that tries in different degrees to copy a human cerebrum with a specific end goal to perform assignments that other PC frameworks are generally not fit to handle. As the field of AI and learning frameworks utilizing counterfeit neural systems is being created and extended, it is inescapable that its utilization in gaming will be investigated thoroughly. In the Digital Gaming among these years, the games can be cracked easily because there is not a much tougher opponent in games and the games can be predicted as well so that the user is easily able to know about upcoming moves in games. So Need of ANN here is, its ability to learn and adaptation of many different tasks and make complex predictions. ANN in games learns the way in which the player is playing the game and according to that, it makes its new move so that the game becomes much tougher and enriches the experience of playing games. In this paper reviews about the implementation of ANN and its algorithms for Board Games, Modern Games and digital video games as well.