It would be great to have more bearings & context for how the different fastai classes fit into the larger ecosystem of tools available for machine learning & deep learning.
Is the following correct?
p1 v1: tensorflow / theano / keras / python2
p2 v1: pytorch / python3
p1 v2: fastai / pytorch / python3
p2 v2: fastai / pytorch / python3
Also verrrrrrry interesting: how to find this out?
Is reading the “includes” in a notebook (and in the included libraries such as fastai) the best way? Do people have quick commands from keras or pytorch that they run to verify for themselves what’s going on?