In this chapter, we started by training a basic computer vision model using the Keras API. We introduced the main concepts behind TensorFlow 2—tensors, graphs, AutoGraph, eager execution, and the gradient tape. We also detailed some of the more advanced concepts of the framework. We went through the main tools surrounding the use of deep learning with the library, from TensorBoard for monitoring, to TFX for preprocessing and model analysis. Finally, we covered where to run your model depending on your needs.
With these powerful tools in hand, you are now ready to discover modern computer vision models in the next chapter.
