I don ' t think you know what an anglo saxon is <| sep |> Does Marvin Jones plan on showing up again at all this year ? He ' s been completely invisible for a month and is getting blanketed by Trae Waynes now who is TERRIBLE . <| sep |> Sorry I completely missed it ! <| sep |> It sounds like you ' re on a better path . Keep it up , man . Happy Thanksgiving . <| sep |> Braun and Serve <| sep |> Yesssss . A slut after my own heart . <| sep |> You ' re putting a lot of trust in neural nets . Don ' t get me wrong they do a lot of amazing things , but the issue here is that almost every neural net depends on proper training . There isn ' t a good way to train a neural net for this task . It pretty much has to be a neural net per player , and then if you did do that , it would go completely bonkers and give you false positives all over if someone else were to play on your account say you invite people over . And that ' s not even talking of the fact that that would come at a very non negligible performance cost . The only way to do it , no matter the neural net structure , is to have a good training , with cheat and without cheat on . And since mouse movement patterns cannot be generalized as play styles are more perperson , the training pretty much has to be exclusively from the player himself . Unless that player were to willing fully indicate when the cheat is activate and when it isn ' t , you wouldn ' t be able to train it . Remember , even if you do try to establish a baseline of expected actions , if the player used a cheat since the first time he started playing than it wouldn ' t be possible to establish an outlier . And all of that completely ignores the fact that players naturally get better over time , something that would be extremely hard to make the neural net take into account . The neural net would have to mix a CNN convolutional neural net for video with probably a LSTM long short term memory in order to contextualize mouse movements . And that would need to know when you ' re alive and when you ' re dead , to ignore the friendlies , but not if they ' re blocking LOS to an enemy . This alone is far from being trivial . The real issue here is that no matter the data , if you ' re willing to torture it enough it will tell you anything . It ' s easy to see patterns where there aren ' t , and neural nets main strength is unironically precisely that .