Summary
In this chapter, you have learned the main options for getting started with AutoKeras, from installation to running in various environments.
You have also seen the power of AutoKeras by implementing two different approaches of a high-precision image classifier in just a few lines of code and 2 minutes of training.
Now that you have learned to implement a DL model from scratch, following these same steps and simply changing the dataset, your model would be able to classify all kinds of images.
In the following chapters, you will learn how to solve more complicated tasks related to images, structured data, and plaintext as input data sources, but before that, in the next chapter, we will see how to prepare the data to feed to AutoKeras by using some interesting tools to automate this process as much as possible.