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

Why AutoKeras?

As we explained in the previous chapter, AutoKeras is an open source AutoML framework that allows a non-ML expert to create high-performance models in a simple way. There are similar tools with the same objective, but AutoKeras is specialized in DL. Although it is not the only solution, there are several AutoML services available; most are cloud computing platforms (Amazon, Google, International Business Machines (IBM)) and have some significant disadvantages, which are outlined here:

  • Machine learning cloud platforms are expensive; you usually have a trial period with free credits, but if you want to use them regularly you will have to pay a bill every month.
  • Depending on the cloud platform, some of them are not easy to configure and scale, which sometimes requires you to have knowledge of containers and clusters.
  • They tend to offer simple to use but less flexible out-of-the-box solutions.

As AutoKeras is based on an open source model, it solves...