Do you marvel at the idea of production-grade Deep Learning that can scale infinitely in nearly constant time?Using a general purpose NLP application as an example, you will learn how to design, build and deploy deep learning applications using serverless computing.PS: BEWARE: Talk contains code!This talk will discuss:- The architecture and design of a serverless Deep Learning based system for batch processing texts performing tasks like tokenization, Named Entity Recognition, Part Of Speech Tagging, text classification, etc. *We do this without using third party APIs or managed services* This architecture generalizes to other deep learning applications as well.- The following constraints of working with serverless computing platforms and approaches to work with them:- Package size restrictions- Memory restrictions- Speed- An automated build and deploy strategy- Tips and tricks to maximize performance