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Posted: May 2, 2018 Benchmark results DAWNBench is a Stanford University project designed to allow different deep learning methods to be compared by running a number of competitions. There were two parts of the Dawnbench competition that attracted our attention, the CIFAR 10 and Imagenet competitions. Their goal was simply to deliver the fastest image classifier as well as the cheapest one to achieve a certain accuracy (93% for Imagenet, 94% for CIFAR 10). In the CIFAR 10 competition our entries...