MXNet How To

This section addresses common questions about how to use MXNet. These include performance issues, e.g., how to train with multiple GPUs. They also include workflow questions, e.g., how to visualize a neural network computation graph. These answers are fairly focused. For more didactic, self-contained introductions to neural networks and full working examples, visit the tutorials section.

Questions about Using MXNet

If you are not sure of how to use MXNet for something, or have questions about applying it to a particular kind of problem, please post a question at Stackoverflow with tag - mxnet. You can view StackOverflow questions about mxnet here.

Issue Tracker

We track bugs and new feature requests in the MXNet Github repo in the issues folder: mxnet/issues.

Roadmap

MXNet is evolving fast. To see what’s next and what we are working on internally, go to the MXNet Roadmap.

Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. 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.

"Copyright © 2017-2018, The Apache Software Foundation Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."