[ANNOUNCE] Apache MXNet (incubating) 1.1.0 Release

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[ANNOUNCE] Apache MXNet (incubating) 1.1.0 Release

YiZhi Liu-2
Hello all,

The Apache MXNet (incubating) Community announces the availability of
Apache MXNet (incubating) 1.1.0!

Apache MXNet (incubating) is a deep learning framework designed for
both efficiency and flexibility. It allows you to mix symbolic and
imperative programming to maximize efficiency and productivity.

This release improves performance on GPU and CPU. With more operators
supported, we are continuing to improve examples and tutorials.

A full list of the changes in this release can be found in the release notes:

A Link to the Download is here:

If you prefer to build from source and experiment with various
compile-time configuration options, use this link to get the

Or You can download and play with MXNet easily using one of the options below:
   1. The Pip package can be found here: https://pypi.python.org/pypi/mxnet
   2. The Docker Images can be found here:

The release tag used for the 1.1.0 release is:

Some more MXNet Resources:
   1. Issues: https://github.com/apache/incubator-mxnet/issues
   2. Wiki: https://cwiki.apache.org/confluence/display/MXNET

If you want to learn more about MXNet visit

Finally, you are welcome to join and also invite your friends to the
dynamic and growing MXNet community by subscribing to
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Apache MXNet (incubating) Team


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.

Yizhi Liu
DMLC member
Amazon Web Services
Vancouver, Canada

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