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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
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Author (1)
Luis Sobrecueva
Luis Sobrecueva
author image
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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Summary

In this chapter, we have learned how to define Keras callbacks to monitor your models during training, how to use TensorBoard to view histograms, model graphs, and many more metrics besides, and how to monitor and track your experiments using the ClearML extension.

With these new tools, you will be better equipped to build your deep learning models in the real world and debug potential problems.

Throughout this book, we have learned the basic concepts necessary to use AutoKeras to solve any task based on text, images, or structured data, as well as the visualization techniques seen in this chapter. AutoKeras, Keras, and TensorFlow have excellent documentation that you can dig into for as long as you need. The foundations are already laid; now it's time to finish the building.

A final few words

This is the end of Automated Machine Learning with AutoKeras! I hope you have learned that it will help you to implement your own AI projects or to improve the ones you...

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Automated Machine Learning with AutoKeras
Published in: May 2021Publisher: PacktISBN-13: 9781800567641
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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