The complete MXNet library and its requirements can take almost 200MB of RAM, and loading large models with the library can take over 1GB of RAM. These instructions will walk through how to build MXNet for the Raspberry Pi and install the Python bindings for the library. MXNet supports the Debian based Raspbian ARM based operating system so you can run MXNet on Raspberry Pi Devices.
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