What is transfer learning? Exploring the popular deep learning approach

Transfer learning is the reuse of a pre-trained model on a new problem. It's currently very popular in deep learning because it can train deep neural networks with comparatively little data. This is very useful since most real-world problems typically do not have millions of labeled data points to train such complex models. We'll take a look at what transfer learning is, how it works, why and when you it should be used. Additionally, we'll cover the different approaches of transfer learning and provide you with some resources on already pre-trained models.