How we built an inexpensive, scalable architecture to cartoonize the world!

A lot of people were interested in the architecture behind Cartoonizer. So Tejas and I (Niraj) have tried explaining the process we employed to make it work. In today's fast paced world, ML experts are expected to put on multiple hats in the ML workflow. One of the critical tasks in the workflow is to serve the models in production! This seemingly important piece in the pipeline tends to get overlooked thus faltering to provide value to the customers.