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Hello guys, it's me again trying to do machine learning with motion capture data in FE. I have created a Neural Network object so I can simulate networks directly in FE. The learning phase is still done off-line, outside Fabric.
I think this is an improvement over my existing pipeline because I can see results in real-time and also because I have more tools to manipulate/use/mix data.
I have created 2 videos. In the first video I do a brief overview of the applications of such extension. In the second video I show how one can actually setup up a network and bring learned parameters, in this case, from MATLAB. Of course you can bring learned parameters from anywhere (OpenNN, OpenCV, and so on) so long as you store them in the CSV format.
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