Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Automated Machine Learning with AutoKeras
  • Table Of Contents Toc
Automated Machine Learning with AutoKeras

Automated Machine Learning with AutoKeras

By : Sobrecueva
4.6 (7)
close
close
Automated Machine Learning with AutoKeras

Automated Machine Learning with AutoKeras

4.6 (7)
By: 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)
close
close
1
Section 1: AutoML Fundamentals
5
Section 2: AutoKeras in Practice
11
Section 3: Advanced AutoKeras

Summary

In this chapter, we have learned how to define Keras callbacks to monitor your models during training, how to use TensorBoard to view histograms, model graphs, and many more metrics besides, and how to monitor and track your experiments using the ClearML extension.

With these new tools, you will be better equipped to build your deep learning models in the real world and debug potential problems.

Throughout this book, we have learned the basic concepts necessary to use AutoKeras to solve any task based on text, images, or structured data, as well as the visualization techniques seen in this chapter. AutoKeras, Keras, and TensorFlow have excellent documentation that you can dig into for as long as you need. The foundations are already laid; now it's time to finish the building.

A final few words

This is the end of Automated Machine Learning with AutoKeras! I hope you have learned that it will help you to implement your own AI projects or to improve the ones you...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Automated Machine Learning with AutoKeras
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon