A detailed guide to my implementation of the original Vision Transformer paper “An Image is Worth 16x16 Words: Transformers for Image Recognition At Scale.” — Though originally developed for NLP, the transformer architecture is gradually making its way into many different areas of deep learning, including image classification and labeling and even reinforcement learning. It’s an amazingly versatile architecture and very powerful at representing whatever it’s being used to model.