[raker]

This article explains very little about the actual technique. Digging into the paper, it seems like this has to do more with training a network with multiple data sources at the same time, to take advantage of related patterns across data sets.

I'm not professionally versed in NNs myself, but what would be the closest equivalent to recreating this sort of training with tools available today? (in Keras or R for instance)