You're reading from Automated Machine Learning with AutoKeras

Product typeBook

Published inMay 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800567641

Edition1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Author (1)

Luis Sobrecueva

Summary

In this chapter, we learned about tensors, the main data structures for networks, some data preprocessing operations for neural networks, and the AutoKeras data formats that are supported, as well as its data-preprocessing utilities. Finally, we learned how to split a dataset in a quick and easy way. Now, you are ready to power your AutoKeras models in the most appropriate way.

In the next chapter, we will learn how AutoKeras works with images. We will also introduce some techniques we can use to extract specific characteristics from images and how to apply them.

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Automated Machine Learning with AutoKeras

Published in: May 2021Publisher: PacktISBN-13: 9781800567641

Author (1)

Luis Sobrecueva

Luis Sobrecueva is a senior software engineer and ML/DL practitioner currently working at Cabify. He has been a contributor to the OpenAI project as well as one of the contributors to the AutoKeras project.
Read more about Luis Sobrecueva

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