In this chapter, we covered the methodologies that we can use to deploy DL models in production. We looked at the different methods in detail and some famous tools that are useful in making it easier to deploy to production and manage the models there. We covered a demonstration of online learning using the Flask and sklearn libraries. We also discussed the post-deployment requisites and some examples for the most common tasks.
In the next chapter, we will demonstrate an end-to-end sample application—a customer support chatbot—using Dialogflow integrated into a website.
