Programming Machine Learning

Where Now?

You’re reaching the end of this book, but I bet you’re up for more. You have no shortage of things to learn. In fact, even if you track the field closely, it’s hard to keep up with the barrage of exciting new ideas and techniques across the many areas of deep learning.

With so many possible paths to mastery, you might wonder which one to take. The next sections describe a few of those paths, including some topics I didn’t even mention so far. See if any of these pique your interest.

Learning a Machine Learning Library

For most of this book, we didn’t use machine learning libraries at all. And when we finally got around to using Keras, we only learned the bare minimum we needed. As you continue exploring ML on your own, however, learning ...