steps that run in parallel now it's been long enough that we've had deep learning working that it's a little bit silly to even discuss shallow learning anymore but back when I first got involved in AI when we used machine learning we were usually learning things like support vector machines you could have a lot of input features to the model and you could multiply each feature by a different weight but all those multiplications were done in parallel to each other there wasn't a lot done in series I think what we got with deep