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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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Creating a news topic classifier

The model we are going to create will classify news from the Reuters newswire classification dataset. It will read the raw text of each news item and classify it into sections, assigning a label corresponding to the section that they belong to (Sports, Weather, Travel, and so on).

Reuters newswire is a dataset that contains 11,228 newswires from Reuters, labeled over 46 topics.

The text of each news item is encoded as a list of word indexes. These are integers that are indexed by frequency in the dataset. So, here, integer 1 encodes the first most frequent word in the data, 2 encodes the second most frequent, and so on.

The notebook that contains the complete source code can be found at https://github.com/PacktPublishing/Automated-Machine-Learning-with-AutoKeras/blob/main/Chapter08/Chapter8_Reuters.ipynb.

Now, let's have a look at the relevant cells of the notebook in detail:

  • Installing AutoKeras: As we've mentioned in...
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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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