MXNet FAQ

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 need help with using MXNet, have questions about applying it to a particular kind of problem, or have a discussion topic, please use our forum.

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.

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