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

Chapter 4: Image Classification and Regression Using AutoKeras

In this chapter, we will focus on the use of AutoKeras applied to images. In Chapter 2, Getting Started with AutoKeras, we got our first contact with deep learning (DL) applied to images, by creating two models (a classifier and a regressor) that recognized handwritten digits. We will now create more complex and powerful image recognizers, examine how they work, and see how to fine-tune them to improve their performance.

After reading this chapter, you will be able to create your own image models and apply them, to solve a wide range of problems in the real world.

As we discussed in Chapter 2, Getting Started with AutoKeras, the most suitable models for recognizing images use a type of neural network called a convolutional neural network (CNN). For the two examples that we will see in this chapter, AutoKeras will also choose CNNs for the creation of its models. So, let's see in a little more detail what these...