Summary: PACEdge comes with pre-installed Python Tensorflow based Machine Learning example application. In this example a handwritten digit in the form of 28x28 pixel bit map is being sent to ML algorithm, running on Python container, for recognition. Result is then sent back to Node-RED and is being shown to user. Communication between Node-RED and Python container is via MQTT. This video will show how to activate and use this example. It can be used as a basis for user own machine learning application. Example uses a freely available Tensorflow python container.

Example steps: