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Deep Learning on Edge TPUs. (arXiv:2108.13732v2 [cs.CV] UPDATED)
Nov. 1, 2022, 1:12 a.m. | Yipeng Sun, Andreas M Kist
cs.LG updates on arXiv.org arxiv.org
Computing at the edge is important in remote settings, however, conventional
hardware is not optimized for utilizing deep neural networks. The Google Edge
TPU is an emerging hardware accelerator that is cost, power and speed
efficient, and is available for prototyping and production purposes. Here, I
review the Edge TPU platform, the tasks that have been accomplished using the
Edge TPU, and which steps are necessary to deploy a model to the Edge TPU
hardware. The Edge TPU is not …
More from arxiv.org / cs.LG updates on arXiv.org
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