Any plans to take an approach similar to this for the MxNet library?
https://github.com/tensorflow/swift/blob/master/docs/WhySwiftForTensorFlow.md
-Zach
(well, I'm a Julia programmer, my opinion might be quite bias. :p)
No. I think Python is still dominating at this moment.
I agree the Julia blog post about ML and PL
(it also mentioned in that Swift artical):
https://julialang.org/blog/2017/12/ml&pl
(Chinese version)
https://julialang.or
Those are compelling points! There's also another more recent follow-up
from the Julia team: https://julialang.org/blog/2018/12/ml-language-compiler
.
It seems that Julia will likely have it's place in ML regardless of how
other tools progress; the latest offerings from Julia/Flux are really
compe
well, I'm not going to talk about technical stuffs.
You can find some design concepts on doc or wiki.
(https://mxnet.incubator.apache.org/versions/master/architecture/index.html)
For me, working on MXNet is a rare chance to verify my ideas of
a machine learning framework.
During implementing MXNe
+100 on Iblis's thoughts:
"We know tools and frameworks keep changing.
People learn the lesson from making and attempting.
It's just the path of the human technology evolution.
The point is the ideas/experiences
which this community is going to surprise you at."
- Carin
On Mon, Feb 11, 2019 at
Really interesting stuff, Iblis. Thanks for sharing! I'm excited to stick
around and absorb :D
Zach Boldyga
Scalabull | Founder
1 (866) 846-8771 x 101
On Mon, Feb 11, 2019 at 6:25 AM Carin Meier wrote:
> +100 on Iblis's thoughts:
>
> "We know tools and frameworks keep changing.
> People lear
