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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
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Author (1)
Luis Sobrecueva
Luis Sobrecueva
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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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What this book covers

Chapter 1, Introduction to Automated Machine Learning, covers the main concepts of automated machine learning with an overview of the types of AutoML methods and its software systems.

Chapter 2, Getting Started with AutoKeras, covers everything you need in order to get started with AutoKeras and put it into practice with the help of a foundational, well explained code example.

Chapter 3, Automating the Machine Learning Pipeline with AutoKeras, explains the standard machine learning pipeline, explains how to automate such a pipeline with AutoKeras, and describes the main data preparation best practices to apply before training a model.

Chapter 4, Image Classification and Regression Using AutoKeras, focuses on the use of AutoKeras applied to images by creating more complex and powerful image recognizers, examining how they work, and seeing how to fine-tune them to improve their performance.

Chapter 5, Text Classification and Regression Using AutoKeras, focuses on the use of AutoKeras to work with text (sequences of words). This chapter also explains what recurrent neural networks are and how they work.

Chapter 6, Working with Structured Data Using AutoKeras, enables you to explore a structured dataset, transform it, and use it as a data source for specific models, as well as create your own classification and regression models to solve tasks based on structured data.

Chapter 7, Sentiment Analysis Using AutoKeras, uses a text classifier to extract sentiments from text data and applies the concepts of text classification in a practical way by implementing the sentiment predictor.

Chapter 8, Topic Classification Using AutoKeras, focuses on the practical aspects of the text-based tasks learned in the previous chapters. It teaches you how to create a topic classifier with AutoKeras and then apply it to any topic or category-based dataset.

Chapter 9, Working with Multi-Modal Data and Multi-Task, covers the use of the AutoModel API to show how to handle multimodal and multitasking data.

Chapter 10, Exporting and Visualizing the Models, teaches you to export and import AutoKeras models and visualize graphically, as well as in real time, what is happening during the training of our models.

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Automated Machine Learning with AutoKeras
Published in: May 2021Publisher: PacktISBN-13: 9781800567641

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