Welcome to the end of the ride. Through the last ten chapters, we have discovered, explored, and learned about the exciting field of machine learning with TensorFlow.js. With over ten unique examples that included a broad diversity of networks and use cases, we predicted the number of steps taken, clustered data, posed, identified toxic content, generated images, and more. It’s been a lot.
It is for this reason that for the last chapter, I would like to close with a recap of some concepts we saw and even add more on them—we ...
