fast.ai Deep Learning Study Group Delivers Accurate Image Classifier in Three Hours - AI Trends

AWNBench is a Stanford University project designed to allow different deep learning methods to be compared by running a number of competitions. Two parts of the Dawnbench competition 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 won both training sections: fastest, and cheapest. In this post we'll discuss our approach to each competition.