Research on Anti-Stealing Algorithm Based on Deep Learning

In recent years, the emergence of various smart professional hi-tech power stealing methods has made stealing behavior more hidden. Facing the increasingly severe large-scale professional power theft phenomenon, traditional anti-theft methods lack the ability to cope with high-tech power theft. This paper applies deep learning algorithms in artificial intelligence to anti-theft problems and analyzes anti-theft models. In the construction process, by constructing an anti-theft model, and proposing methods for optimizing and training the model, an anti-theft model that can predict anti-theft behavior is finally obtained.