Transfer Learning with TensorFlow 2

It is always fun and educational to read deep learning scientific papers. Especially if it is in the area of the current project that you are working on. However, often these papers contain architectures and solutions that are hard to train. Especially if you want to try out, let's say, some of the winners of ImageNet Large Scale Visual Recognition (ILSCVR) competition. I can remember reading about VGG16 and thinking "That is all cool, but my GPU is going to die".