Device Placement Optimization with Reinforcement Learning — mentioned by Smerity

Mon, 19 Aug 2019 21:38:53 GMT

Given these chips are purely meant for machine learning the issue that "your wafer computer was always going to be sub-optimal at something" is less of an issue now than in traditional scientific programming setups, especially of the Trillogy / Transmeta days. You have silicon in place to deal with physical defects at the hardware level. You have backprop / machine learning in place to deal with physical deficiencies at the software level. The programmer operates mostly at the objective / machine learning model level and can tweak the task setup as needed softly influenced by both the…

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Device Placement Optimization with Reinforcement Learning · HackerPapers discussions

Device Placement Optimization with Reinforcement Learning — mentioned by Smerity