Introduction

This chapter focuses on how to productize a deep learning model. We use the word productize to define the creation of a software product from a deep learning model that can be used by other people and applications.

We are interested in models that use new data as and when it becomes available, continuously learn patterns from new data, and consequently, make better predictions. In this chapter, we will study two strategies to deal with new data: one that retrains an existing model, and another that creates a completely new model. Then, we implement the latter strategy in our Bitcoin price prediction model so that it can continuously predict new Bitcoin prices.

By the end of this chapter, we will be able to deploy a working web application (with a functioning HTTP API) and modify it to our heart's content.