Now anyone can train Imagenet in 18 minutes · fast.ai

Note from Jeremy: I'll be teaching Deep Learning for Coders at the University of San Francisco starting in October; if you've got at least a year of coding experience, you can apply here. This is a new speed record for training Imagenet to this accuracy on publicly available infrastructure, and is 40% faster than Google's DAWNBench record on their proprietary TPU Pod cluster. Our approach uses the same number of processing units as Google's benchmark (128) and costs around $40 to run. The main training methods we used (details below) are: fast.ai's We used the classic ResNet-50 architecture, and SGD with momentum.