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Automated Machine Learning with AutoKeras
book

Automated Machine Learning with AutoKeras

by Luis Sobrecueva
May 2021
Intermediate to advanced content levelIntermediate to advanced
194 pages
3h 33m
English
Packt Publishing
Content preview from Automated Machine Learning with AutoKeras

Chapter 2: Getting Started with AutoKeras

In this chapter, we will go over everything you need to get started with AutoKeras and put it into practice with a foundational, well-explained code example. By the end of this chapter, you'll know how to create a simple classifier for handwritten digits from the well-known Modified National Institute of Standards and Technology (MNIST) dataset, in just a few lines of code.

As we saw in the previous chapter, DL (DL) automation manages to speed up training time and benefit from allocating human resources (data scientists) in other pipeline processes that are less likely to be automated.

To carry out this automation, we have chosen AutoKeras. This is a ML (ML) automation framework based on Keras, a widely ...

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Publisher Resources

ISBN: 9781800567641Supplemental Content