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
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.
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