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.
How can I train with multiple CPU/GPUs with data parallelism?
What are the best setup and data-handling tips and tricks for improving speed?
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.
We track bugs and new feature requests in the MXNet Github repo in the issues folder: mxnet/issues.
MXNet is evolving fast. To see what's next and what we are working on internally, go to the MXNet Roadmap.