Deep learning is everywhere. The surge of new methods for analyzing all kinds of data is astonishing. Especially image analysis has been impacted by deep learning with new methods and rapid improvements in model performance for many different tasks. Convolutional neural networks (CNN) can be used to classify images with high accuracy and new libraries have made it easier than ever to build and train such networks. The best thing is that you do not need large amounts of data or specialized GPU hardware to experiment with techniques such as transfer learning, where we only need to fine-tune the last part of a pre-trained network.