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This is why I am working on raspberry pi based neural net things

We have learned a lot using big computing which can still inform better efficiency of AI on smaller computing units. Raspi is pretty good because it is quite limiting, but also quite capable.

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Is it really worth training on a Raspberry Pi? It seems vastly underpowered compared to even modest desktop hardware.

It's worth having a self-contained option available. For something like a drone, you don't need all that much computation for on-the-fly PID tuning in response to changing weather or different piloting styles, etc.

You've hooked a NN up to a PID? How's that going? It's hard enough tuning those things by hand using squishy human brain networks.

I haven't done it myself yet, it's on the to-do list. There is a lot of academic material on PID autotuning, not always with neural networks but that seems the most straightforward way. A Raspberry Pi is probably overkill for the job, actually.

Inference on embedded hardware makes sense, but training no so much.

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