Summary

In this chapter, we have explained how programming with TensorFlow works and how to set up your work environment for working with TensorFlow. We have also looked at how to build, train, and evaluate your own linear model using TensorFlow for classifying iris flowers. In doing so, we briefly looked at loss functions and gradient descent optimizers.

In the next chapter, we will learn more about some key deep-learning concepts, including convolutional neural networks. We'll also look at how to use TensorFlow to build and train deep neural networks.