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From Henri Yandell <bay...@apache.org>
Subject Re: [ANNOUNCE] Apache MXNet (incubating) 0.11.0 Release
Date Fri, 08 Sep 2017 03:46:38 GMT
A link to either the wiki page or the change diff would help here (so your
fellow community members can dive deeper).

On Thu, Sep 7, 2017 at 17:15 Meghna Baijal <meghnabaijal2017@gmail.com>
wrote:

> Thank you for your suggestion! I have updated our release process wiki to
> reflect your point and we will make sure to incorporate next time.
>
> - Meghna
>
> > On Sep 7, 2017, at 4:16 AM, sebb <sebbaz@gmail.com> wrote:
> >
> > What is the project about? Why should I be interested in it?
> > [rhetorical questions]
> >
> > The Announce emails are sent to people not on the developer or user
> lists.
> > Most will have no idea what the project is about.
> >
> > So the e-mails should contain at least brief details of what the
> > product does, and some info on why the new release might be of
> > interest to them.
> >
> > Readers should not have to click the link to find out the basic
> information
> > (although of course it is useful to have such links for further detail).
> >
> > Please can you add that information to future announce mails?
> >
> > Thanks.
> >
> >
> > On 7 September 2017 at 03:06, Naveen Swamy <nswamy@apache.org> wrote:
> >> The Apache MXNet community is happy to announce Apache MXNet version
> 0.11.0!
> >> We hit some major milestones with this release!
> >> This is our first official release as an incubating Apache project. The
> >> project has now fully migrated its code base and website to Apache.
> >> This release includes code contributions from developers from Apple,
> >> Samsung, Microsoft and many other.
> >> We have also crossed over 400 contributors on the project so far. The
> 0.11.0
> >> release features Apple Core ML model converter, Support for Keras
> v1.2.2.
> >>
> >> A blog that explains an end to end use case of building an ios app using
> >> MXNet and Core ML:
> >>
> https://aws.amazon.com/blogs/ai/bring-machine-learning-to-ios-apps-using-apache-mxnet-and-apple-core-ml/
> <
> https://aws.amazon.com/blogs/ai/bring-machine-learning-to-ios-apps-using-apache-mxnet-and-apple-core-ml/
> >
> >>
> >> The AWS blog that highlights the key features of the release:
> >>
> https://aws.amazon.com/blogs/ai/apple-core-ml-and-keras-support-now-available-for-apache-mxnet/
> <
> https://aws.amazon.com/blogs/ai/apple-core-ml-and-keras-support-now-available-for-apache-mxnet/
> >
> >>
> >> A full list of the changes in this release can be found in the release
> >> notes:
> >>
> https://cwiki.apache.org/confluence/display/MXNET/MXNet+0.11.0+Release+Notes
> >> <
> https://cwiki.apache.org/confluence/display/MXNET/MXNet+0.11.0+Release+Notes
> >
> >>
> >> Link to Download: http://www.apache.org/dist/incubator/mxnet/
> >> <http://www.apache.org/dist/incubator/mxnet/>
> >>
> >> To build this project, view this page and select “Build from Source”:
> >> http://mxnet.incubator.apache.org/get_started/install.html
> >> <http://mxnet.incubator.apache.org/get_started/install.html>
> >>
> >> The Docker Images can be found here:
> >> https://hub.docker.com/u/mxnet/ <https://hub.docker.com/u/mxnet/>
> >>
> >> The Pip package can be found here:
> >> https://pypi.python.org/pypi/mxnet <https://pypi.python.org/pypi/mxnet>
> >>
> >> The Release Tag is here:
> >> https://github.com/apache/incubator-mxnet/tree/0.11.0
> >> <https://github.com/apache/incubator-mxnet/tree/0.11.0>
> >>
> >> MXNet Resources
> >>   - Issues: https://github.com/apache/incubator-mxnet/issues
> >> <https://github.com/apache/incubator-mxnet/issues>
> >>   - Wiki: https://cwiki.apache.org/confluence/display/MXNET
> >> <https://cwiki.apache.org/confluence/display/MXNET>
> >>   - Mailing list(s): dev@mxnet.incubator.apache.org
> >> <mailto:dev@mxnet.incubator.apache.org>
> >>
> >> For more information on Apache MXNet, please see:
> >> https://mxnet.incubator.apache.org/ <
> https://mxnet.incubator.apache.org/>
> >>
> >> Thanks!
> >> Apache MXNet(incubating) Team
> >> _______
> >>
> >> DISCLAIMER:
> >> Apache MXNet (incubating) is an effort undergoing incubation at The
> >> Apache Software Foundation (ASF), sponsored by the name of Apache
> >> Incubator PMC. Incubation is required of all newly accepted
> >> projects until a further review indicates that the
> >> infrastructure, communications, and decision-making process have
> >> stabilized in a manner consistent with other successful ASF
> >> projects. While incubation status is not necessarily a reflection
> >> of the completeness or stability of the code, it does indicate
> >> that the project has yet to be fully endorsed by the ASF.
>
>

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