examples as well no motorcycles and what you find is that if you plot a set of positive and negative motorcycle and non motorcycle images that your positive negative examples are extremely jumbled together and so if you feed this data to you know certainly a linear classifier it doesn't work so what is done is that the machine learning is that we want to be nice if you could come up with what's called a feature representation if you could write a piece of code that tells you does this image have handlebars in