Data Science, Past & Future
Domino Data Lab
JULY 22, 2019
and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. They’d like to do something more efficient when they’re training a lot of deep learning models. The ones that don’t fare well tend to rely on external consultants.
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