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 <meghnabaijal2...@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 <seb...@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 <nsw...@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. > >
