Question- Why do you need theano? Aside from the benefits of symbolic graph optimization, what does Theano provide that Julia doesn't do? With Julia you can write normal imperative code that is easier to read/write than theano, and then do autodiff on that.
On Tuesday, November 24, 2015 at 2:43:46 PM UTC-5, Marcin Elantkowski wrote: > > Hi, > > I'm just learning Julia, but so far it looks amazing. What I'm missing the > most, though, is *Theano*. > > Theano provides an extremely flexible symbolic API, much more mature than > *mxnet* (e.g.: *for* loops, *IfElse*). TensorFlow seems to replicate > that, but it remains to be seen how it compares to other frameworks. > > Since there is not much info on the web, I'd like to ask You: > > - How hard do you think would it be to port theano to Julia? > - Or maybe you guys know of anyone working on doing that already? > > > W dniu poniedziałek, 9 listopada 2015 22:02:36 UTC+1 użytkownik Phil > Tomson napisał: >> >> Google has released it's deep learning library called TensorFlow as open >> source code: >> >> https://github.com/tensorflow/tensorflow >> >> They include Python bindings, Any ideas about how easy/difficult it would >> be to create Julia bindings? >> >> Phil >> >
