Designing Deep Learning Systems

10 Path to production

This chapter covers

• Preliminary work and tasks before productionizing deep learning models
• Productionizing deep learning models with a deep learning system
• Model deployment strategies for experimentation in production

For the concluding chapter of the book, we think it makes sense to return to a high-level view and connect all the dots from previous chapters. We have now discussed in detail each service in a deep learning system. In this chapter, we will talk about how the services work together to support the deep learning product development cycle we introduced in chapter 1. That cycle, if you remember, brings the efforts of research and data science all the way through productionization to the end products that customers ...