Hands-On Python Deep Learning for the Web

Summary

In this chapter, we learned how easy it is to create models with TF.js. You not only get the whole JavaScript ecosystem to work with, but you also get all the pretrained TensorFlow models within TF.js. We developed a simple web application using the Iris dataset and, along the way, we learned about several components that TF.js has to offer. By now, we have already built two simple end-to-end deep learning-based web applications. 

Our progress is indeed apparent. In the upcoming chapters, we will be building our own deep learning APIs and using them to create intelligent web applications. But before that, let's make ourselves familiar with the whole concept of APIs in the next chapter.