In this chapter, we combined several technologies to come up with an end-to-end project that demonstrates one of the most rapidly growing aspects of applying deep learning to websites. We covered tools such as Dialogflow, Dialogflow Gateway, GCP IAM, Firebase Cloud Functions, and ngrok. We also demonstrated how to build a REST API-based UI and how to make it accessible using the Web Speech API. The Web Speech API, although presently at a nascent stage, is a cutting-edge piece of technology used in web browsers and is expected to grow rapidly in the coming years.
It is safe to say that deep learning on the web has huge potential and will be a key factor in the success of many upcoming businesses. In the next chapter, we'll explore some of the hottest research areas in deep learning for web development and how we can plan to progress in the best way.
