Lecture 11A: Deploying ML Models (Full Stack Deep Learning - Spring 2021)

In this lecture, you will learn how to deploy models (aka, getting them into production). 00:00 - Introduction 01:25 - Batch Prediction 02:48 - Model-In-Service 05:04 - Model-as-Service 07:29 - REST APIs 09:13 - Dependency Management 18:30 - Performance Optimization (Single Machine) 29:31 - Horizontal Scaling 35:22 - Model Deployment 37:31 - Managed Options 39:50 - Edge Prediction