How to build a Deep Learning Image Classifier for Game of Thrones dragons

Deep learning doesn't take a huge amount of time or computational resources. Nor does it require highly complex code, and in some cases not even a large amount of training data. Curated best practices are now available as libraries that make it easy to plug in and write your own neural network architectures using a minimal amount of code to achieve more than 90% prediction accuracies. The two most popular deep learning libraries are: (1) pytorch created by Facebook (we will be using fastai today, which is built on top of pytorch) and (2) the keras-tensorflow framework created by Google. We will build an image classifier using the Convolutional Neural Network (CNN) model to predict if a given image is that of Drogon or Vicerion (any Game of Thrones fans here in the house?