now well to answer that question we actually have to go back and understand traditional machine learning at its core first now traditional machine learning algorithms typically try to define as set of rules or features in the data and these are usually hand engineered and because their hand engineered they often tend to be brittle in practice so let's take a concrete example if you want to perform facial detection how might you go about doing that well first you might say to classify a face the first thing I'm gonna do is I'm gonna try and