reminisce commented on issue #10006: How to visualise filters of MXNet model? URL: https://github.com/apache/incubator-mxnet/issues/10006#issuecomment-377613283 We have open-sourced [MXBoard](https://github.com/awslabs/mxboard) which enables users to visualize MXNet data (including network structures) in [TensorBoard](https://pypi.python.org/pypi/tensorboard). In your case, you can just simply pass the weights/filters to the logging API and view it in TensorBoard. The current version on PyPI is [0.1.0rc3](https://pypi.python.org/pypi?:action=display&name=mxboard&version=0.1.0rc3). You can either install from source or `pip install`. The GitHub site has rich examples and tutorials on installation and how to use it in MXNet. Could you try it and give us feedbacks? Thanks.
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