Book Image

Automated Machine Learning with AutoKeras

By : Luis Sobrecueva
Book Image

Automated Machine Learning with AutoKeras

By: Luis Sobrecueva

Overview of this book

AutoKeras is an AutoML open-source software library that provides easy access to deep learning models. If you are looking to build deep learning model architectures and perform parameter tuning automatically using AutoKeras, then this book is for you. This book teaches you how to develop and use state-of-the-art AI algorithms in your projects. It begins with a high-level introduction to automated machine learning, explaining all the concepts required to get started with this machine learning approach. You will then learn how to use AutoKeras for image and text classification and regression. As you make progress, you'll discover how to use AutoKeras to perform sentiment analysis on documents. This book will also show you how to implement a custom model for topic classification with AutoKeras. Toward the end, you will explore advanced concepts of AutoKeras such as working with multi-modal data and multi-task, customizing the model with AutoModel, and visualizing experiment results using AutoKeras Extensions. By the end of this machine learning book, you will be able to confidently use AutoKeras to design your own custom machine learning models in your company.
Table of Contents (15 chapters)
1
Section 1: AutoML Fundamentals
5
Section 2: AutoKeras in Practice
11
Section 3: Advanced AutoKeras

Working with text data

AutoKeras allows us to quickly and easily create high-performance models for solving text-based tasks.

Text is an excellent source of information to feed DL models, and there is a multitude of sources that are text-based, such as social media, chats, emails, articles, books, and countless tasks to automate based on text, such as the following:

  • Translation: Convert source text in one language to text in another language.
  • Conversational bots: Simulate human conversation using ML models.
  • Sentiment analysis: Classification of emotions by analyzing text data.
  • Spam classifiers: Email classification using machine learning models.
  • Document summarizers: Generate summaries of documents automatically.
  • Text generators: Generate text from scratch automatically.

As with other types of data, AutoKeras will do all the preprocessing so that we can pass the text directly to our model, but before starting with the practical examples, let...