You received the task of building a Deep Learning model for detecting Malaria in human cell pictures. After this, you: Prepared the datasets; Chose the best architecture for the task; Set up the training environment; Trained the model; Tested the model. What now? Where should you deploy it? Will you need a GPU for inferences? What about auto-scaling? Should you build an API for it? This presentation will show you what a Serverless Architecture is and how easily you can deploy your Deep Learning models in it, at a very low cost.
