Automated Machine Learning in Action

4 Automated generation of end-to-end ML solutions

This chapter covers

• A brief introduction to AutoKeras
• Automated classification and regression
• Addressing multi-input and multi-output problems with AutoML

This chapter begins by teaching you how to create an end-to-end deep learning solution without selecting or tuning any deep learning algorithms. This can be done with as few as five lines of code, which is much simpler than the process introduced in chapter 3 for implementing a deep learning pipeline. Then you’ll learn how to perform classification and regression on image, text, and tabular data, as we did in the previous chapters, but with AutoML. We’ll also explore several more complex scenarios, including tasks with multiple types of inputs, ...