Hands-On Python Deep Learning for the Web

Summary

As a general overview, web applications that hone the power of DL have a few set methods to do so via APIs, in-browser JavaScript, or by silently embedding DL models in the backend of the application. In this chapter, we saw how to use the most common of these methods—an API-based DL web application—while at the same time, we saw a rough overview of how to design similar solutions. We covered the thought process that goes into the identification of the problem statement and a subsequent solution, along with the pitfalls and pain points to avoid during the design of a web application that integrates DL models.

In the next chapter, we will cover an end to end project that integrates DL on web applications for security purposes. We will ...