Transfer Learning in Action: From ImageNet to Tiny-ImageNet

Transfer learning is an important topic. As a civilization, we have been passing on the knowledge from one generation to the other, enabling the technological advancement that we enjoy today. It's the edifice that supports most of the state-of-the-art models that are blowing steam, empowering many services that we take for granted. Transfer learning is about having a good starting point for the downstream task we're interested in solving. In this article, we're going to discuss how to piggyback on transfer learning to get a warm start to solve an image classification task. The content of this article is based on "TensorFlow 2 in Action" by Manning and on TensorFlow 2.2.