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From "Spisak, Joseph" <>
Subject Re: [ANNOUNCE] Apache MXNet (incubating) 1.0.0 Release
Date Tue, 05 Dec 2017 00:02:37 GMT

On 12/4/17, 4:01 PM, "Chris Olivier" <> wrote:

    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
    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
       1. The Pip package can be found here:
       2. The Docker Images can be found here:
    The release tag used for the 1.0.0 release is:
    Some more MXNet Resources –
       1. Issues:
       2. Wiki:
    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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