Looking at the image, looks like the die size is around 10-36 mm2,so presumably it's meant to be an ultra low performance chip?
Hey. We don't say low performance. We say efficient, or low cost.
Edge TPU – Run Inference at the Edge
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Re: Edge TPU – Run Inference at the Edge
#12Int8 and Int16? I never worked with quantized models, anyone mind sharing their experience? Do such models achieve state-of-the-art performance?
We lose a tiny bit of accuracy (quantizing for Android Tensorflow Lite), that's about it. I was pretty impressed.
Re: Edge TPU – Run Inference at the Edge
#13Looking at the image, looks like the die size is around 10-36 mm2,so presumably it's meant to be an ultra low performance chip?
Hey. We don't say low performance. We say efficient, or low cost.
Sorry, yes, I didn't mean that as a negative, I just meant wrt its target market.
Also smaller != more efficient