Beyer et al. investigate how we can improve the student models that come out of the knowledge distillation process and always match the performance of their teacher models. In this example, we will study the recipes introduced by them, using the Flowers102 dataset. As a reference, with these recipes, the authors were able to produce a ResNet50 model that achieves 82.8% accuracy on the ImageNet-1k dataset.