I will have to disagree. FluxML is indeed great, but it changes often and it does not support many of the advanced features of TensorFlow (neither is there a package that seamlessly works with Flux in order to support these features). It is getting there, but Tensorflow v2 is pretty great itself, and frequently faster. But FluxML might soon be as good or better.

Also, to be fair, FluxML is backed by a couple of people while Tensorflow is backed by megacorps, so it is already impressive how much they have done.

I mean to be fair I think the person you are responding too just finds flux more pleasant to use, not more feature complete.

I use pytorch mostly and always find tensorflow very cumbersome, but I assume it’s because I haven’t spent enough time with it yet.