In this series of posts, we investigate how to train Residual networks on the CIFAR10 image classification dataset and how to do so efficiently on a single GPU. To track progress we report the time taken to train a network from scratch to 94% test accuracy. This benchmark comes from the recent DAWNBench competition. At the … Continue reading How to Train Your ResNet