Build an Event-Driven Neural Style Transfer Application Using AWS Lambda

Web: https://towardsdatascience.com/build-an-event-driven-neural-style-transfer-application-using-aws-lambda-18fa8145ef5b?source=rss----7f60cf5620c9---4

A neural style transfer image (on the right) is generated after 5 epochs and 100 steps per epoch (Image by Author)

To build a production-ready ML application and ensure its stability in the long run, we need to take care of a long checklist of requirements which include the ease with which the models could be iterated, reproducibility, infrastructure, automation, resources, memory, and so on. On top of that, we need a seamless developer experience. How hard could it …

application aws aws lambda deep learning event lambda mlops neural open source style transfer transfer workflow automation