In the previous chapters of this book, we've worked on our skills for developing, testing, and using various deep learning models. We haven't talked much about the role of deep learning within the broader context of software engineering. In this last chapter, we will use the time to talk about continuous delivery, and the role of machine learning within this context. We will then look at how you can deploy models to production with a continuous delivery mindset. Finally, we will look at Azure Machine Learning service to properly manage the models you develop.
The following topics will be covered in this chapter:
- Using machine learning in a DevOps environment
- Storing models
- Using Azure Machine Learning service to manage models