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

Visualizing the model

Now, we can view a little summary of the architecture for the best generated model:

model = clf.export_model()
model.summary()

Here is the output:

Figure 7.4 – Best model architecture summary

Figure 7.4 – Best model architecture summary

As we can see, AutoKeras, as we did in the classification example in Chapter 4, Image Classification and Regression Using AutoKeras, has chosen a convolution model (Conv1D) for this task. As we explained in the beginning of that chapter, this kind of architecture works really well when the order of the input sentences is not important for the prediction; there are no correlations between the different movie reviews.

Here is a visual representation of this:

Figure 7.5 – Best model architecture visualization graph

Figure 7.5 – Best model architecture visualization graph

As you already know, generating the models and choosing the best one is done by AutoKeras automatically, but let's explain these blocks in more detail.

Each block represents...