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You're reading from Hands-On Deep Learning Architectures with Python Create deep neural networks to solve computational problems using TensorFlow and Keras

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781788998086

Length 316 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Authors (2):

Saransh Mehta

Yuxi (Hayden) Liu

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Table of Contents (15) Chapters

Preface

1. Section 1: The Elements of Deep Learning

2. Getting Started with Deep Learning FREE CHAPTER

3. Deep Feedforward Networks

4. Restricted Boltzmann Machines and Autoencoders

5. Section 2: Convolutional Neural Networks

6. CNN Architecture

7. Mobile Neural Networks and CNNs

8. Section 3: Sequence Modeling

9. Recurrent Neural Networks

10. Section 4: Generative Adversarial Networks (GANs)

11. Generative Adversarial Networks

12. Section 5: The Future of Deep Learning and Advanced Artificial Intelligence

13. New Trends of Deep Learning

14. Other Books You May Enjoy

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Section 3: Sequence Modeling

In this section, we will learn about two important DL models, along with the evolution paths of those models. We will explore their architectures and various engineering best practices through some examples.

The following chapters will be covered in this section:–

Chapter 6, Recurrent Neural Networks

The rest of the chapter is locked

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Authors (2)

Yuxi (Hayden) Liu

Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retrieval. He is the author of a series of influential machine learning books and an education enthusiast. His debut book, also the first edition of Python Machine Learning by Example, ranked the #1 bestseller in Amazon and has been translated into many different languages.

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Mehta

Chintan Mehta is a co-founder of KNOWARTH Technologies and heads the cloud/RIMS/DevOps team. He has rich, progressive experience in server administration of Linux, AWS Cloud, DevOps, RIMS, and on open source technologies. He is also an AWS Certified Solutions Architect. Chintan has authored MySQL 8 for Big Data, Mastering Apache Solr 7.x, MySQL 8 Administrator's Guide, and Hadoop Backup and Recovery Solutions. Also, he has reviewed Liferay Portal Performance Best Practices and Building Serverless Web Applications.

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