Send invitation to ASF, welcome to the team.
Steffen
On Wed, Jan 9, 2019 at 11:28 PM aashu dwivedi
wrote:
> Hi,
>
> Can you please add me to the MXNet slack for the channels #mxnet and
> #mxnet-scala.
>
> -Ashutosh
>
Thanks for the feedback, I was planning to add an example as well for each
loss, possibly an extension to the current embedding learning gluon example.
The forgotten PR is https://github.com/apache/incubator-mxnet/pull/13632
On Thu, Jan 10, 2019 at 12:40 AM Hagay Lupesko wrote:
> Istavan,
>
> T
Hello,
Does anyone know how these models were trained?
https://github.com/dmlc/mxnet-model-gallery/blob/master/imagenet-1k-inception-bn.md
I am trying to use the inception-bn model but it seems the inputs were not
normalized to [0..1] (I get better results without), no idea about mean and
std tho
Congrats and so much well deserved :)
On Tue, Jan 8, 2019 at 9:20 AM Steffen Rochel
wrote:
> Congratulation Roshani!
>
> On Tue, Jan 8, 2019 at 8:53 AM Qing Lan wrote:
>
> > Congrats Roshani! Great to have you here!
> >
> > -Qing
> >
> > >
> > >
> > > Congrats Roshani. Well deserved.
> > >
> >
Istavan,
This sounds useful to me, and would encourage you to contribute it.
It's always helpful if you describe one or two use cases for the
contribution (e.g. models/problems where these loss functions are useful) -
this stimulates interest.
Can you share the link to the PR that got zero attent
