How to train a ResNet image classifier from scratch on TPUs on Cloud ML Engine Google Cloud Big Data and Machine Learning Blog Google Cloud

Tensor Processing Units (TPUs) are hardware accelerators that greatly speed up the training of deep learning models. In independent tests conducted by Stanford University, the ResNet-50 model trained on a TPU was the fastest (30 minutes) to reach the desired accuracy on the ImageNet dataset. In this article, I'll walk you through the process of training a state-of-the-art image classification model on your own data using Google's Cloud TPUs. The complete code is in a notebook in GitHub. Use that notebook or this codelab to follow along this tutorial.