This tutorial explains the basics of TensorFlow 2.0 with image classification as the example. 1) Data pipeline with dataset API. 2) Train, evaluation, save and restore models with Keras. 3) Multiple-GPU with distributed strategy. 4) Customized training with callbacks
Source : TensorFlow 2.0 Tutorial 01: Basic Image Classification