Deep Learning with Structured Data

8 Deploying the model

This chapter covers

• Overview of model deployment
• Deployment versus one-off scoring
• Why deployment is a difficult topic
• Steps for deploying your model
• Introduction to pipelines
• Maintaining a model after it has been deployed

In chapter 6, we went through the process of iteratively training the deep learning model for predicting streetcar delays, and in chapter 7, we went through a further set of experiments to explore the behavior of the model. Now that we have a trained model, we are going to look at two ways to deploy the model or, in other words, make it possible for streetcar users to get predictions about whether their streetcar trips are going to be delayed. First, we’ll get an overview of the deployment process. ...