Subscription

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Conferences

Free Learning

You're reading from Hands-On Artificial Intelligence for Beginners An introduction to AI concepts, algorithms, and their implementation

Product type Paperback

Published in Oct 2018

Publisher Packt

ISBN-13 9781788991063

Length 362 pages

Edition 1st Edition

Languages

Python

Tools

Assemble

Concepts

Artificial Intelligence

Authors (2):

David Dindi

Patrick D. Smith

View More author details

Table of Contents (15) Chapters

Preface

1. The History of AI

2. Machine Learning Basics FREE CHAPTER

3. Platforms and Other Essentials

4. Your First Artificial Neural Networks

5. Convolutional Neural Networks

6. Recurrent Neural Networks

7. Generative Models

8. Reinforcement Learning

9. Deep Learning for Intelligent Agents

10. Deep Learning for Game Playing

11. Deep Learning for Finance

12. Deep Learning for Robotics

13. Deploying and Maintaining AI Applications

14. Other Books You May Enjoy

Leave a review - let other readers know what you think

Technical requirements

In this chapter, we will be utilizing the following:

TensorFlow
OpenAI gym

It is recommend that you have access to a GPU for training the models in this chapter, whether on your machine itself or via a cloud service platform.

The rest of the chapter is locked

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Patrick D. Smith

Patrick D. Smith is the Data Science Lead for Excella in Arlington, Virginia, where he founded the data science and machine learning team. Prior to Excella, Patrick was the lead instructor for the data science program at General Assembly in Washington, DC, as well as a data scientist with Booz Allen Hamilton's Strategic Innovations Group. He holds a bachelor's degree from The George Washington University in International Economics, and is currently a part-time masters student in software engineering at Harvard University.

See other products by Patrick D. Smith

Dindi

David Dindi received a M.Sc. and a B.Sc. in chemical engineering with a focus on artificial intelligence from Stanford University. While at Stanford, David developed deep learning frameworks for predicting patient-specific adverse reactions to drugs at the Stanford Center for Biomedical Informatics. He currently advises a number of early stage start-ups in Silicon Valley and in New York.

See other products by Dindi