Congratulations on making it this far. So far, have learned to implement a variety of cutting-edge AI algorithms in TensorFlow and built cool projects on the side. Specifically, we have built projects on reinforcement learning, Bayesian neural networks, capsule networks, and Generative Adversarial Networks (GANs), among others. We have also learned about several modules of TensorFlow, including TensorFlow.js, TensorFlow Lite, and TensorFlow Probability, among others. This surely deserves a pat on the back and a well-earned rest.
Before we go out to play, there are a few more things that we should consider reading about before we are prime-time ready to deploy these cutting edge techniques in production. As we will realize in this chapter, there is more to deploying a machine learning model in production than just implementing the latest research paper in AI...