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 see how DL can help us recognize suspicious activity and block spam users.
