Things make more sense if you look at the top level page: https://microsoft.github.io/ELL/ https://microsoft.github.io/ELL/ talks about their embeddable ML libr

Things make more sense if you look at the top level page: https://microsoft.github.io/ELL/ https://microsoft.github.io/ELL/ talks about their embeddable ML libraries, with the focus on allowing some live training on the embeddable, instead of, say, CoreML which (as of this writing) only allows scoring of trained models on the device. So, showing how this works on a Pi (and where it doesn't quite due to heat) is in scope; I don't think they intended to replace a GPU-based PC training approach.