Hello All, 


The Apache MXNet (incubating) Community announces the availability of Apache MXNet (incubating) 1.0.0!


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. We are excited to see the broad base of users that are building production artificial intelligence applications powered by neural network models developed and trained with MXNet. With this release, MXNet simplifies training and deploying deep learning models, and enables implementation of cutting-edge performance enhancements.


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 instructions:



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: https://hub.docker.com/r/mxnet/python/


The release tag used for the 1.0.0 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 http://mxnet.incubator.apache.org/

Finally, you are welcome to join and also invite your friends to the dynamic and growing MXNet community by subscribing to dev@mxnet.incubator.apache.org 



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.