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Training is what the cloud is for.

wongarsu
That makes a $170 board that can also do training look dirt cheap in comparison
lawrenceyan
Good luck training anything in any reasonable time on it.
R0b0t1
Useful for adapting existing models. Not everything needs millions of hours of input.
tachyonbeam
If you want to train yet-another-convnet sure, but there could be applications where you want to train directly on a robot with live data, as in interactive learning.

See this paper for an example of interactive RL: https://arxiv.org/abs/1807.00412

suyash
or a highly rigged machine, this looks more for fast real time ML inference on the edge

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