Deep Learning on embedded systems

Hi,
What is the best way to deploy your models on embedded devices?
What kind of embedded device do you recommend me for inference?.
What are the best techniques to improve inference?
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I would like to do an object detector in an embedded device. :thinking:

Raspberry Pi with the new Edge TPU looks very powerful. https://aiyprojects.withgoogle.com/edge-tpu

You’ll need to use TensorFlow (Lite) for that.

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