These are chat archives for dmlc/mxnet

14th
Mar 2016
Kota Weaver
@femtogram
Mar 14 2016 15:35
hi guys, would you say MXNet is stable enough/featureful enough to be production ready? i'm looking for a good C++ deep learning framework that i can use in production, and the notion of being able to do the research and training stages in other languages (such as Julia) really appeals to me.
Tianqi Chen
@tqchen
Mar 14 2016 20:00
Yes
it is used by several startups already
e.g. @winstywang is using it on their production
Kota Weaver
@femtogram
Mar 14 2016 20:11
@tqchen thanks :) yeah, i started looking at MXNet.cpp (actually, just submitted a quick patch/pull request, probably won't be accepted but that's okay).
@tqchen i was wondering though, what's the right way to concatenate two variables? ie, i have a network which has a CNN section and a fully connected section, and the two are combined at a later stage, before getting pushed into a set of fully connected layers. i know i probably want to flatten the CNN before combining, but is it just a matter of setting the outputs of the CNN and the MLP sections into a variable and adding them together or something?
thanks again for the help by the way
Kota Weaver
@femtogram
Mar 14 2016 20:43
oh, i guess there is a concat directly in mxnet's symbol library... dunno how i missed that earlier.