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Python Artificial Intelligence Projects for Beginners

You're reading from Python Artificial Intelligence Projects for Beginners

Product type Book

Published in Jul 2018

Publisher Packt

ISBN-13 9781789539462

Pages 162 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Dr. Joshua Eckroth

Table of Contents (11) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Building Your Own Prediction Models

2. Prediction with Random Forests

3. Applications for Comment Classification

4. Neural Networks

5. Deep Learning

1. Other Books You May Enjoy

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Index

Summary

In this chapter, we covered a brief introduction to neural networks, proceeded with feed-forward neural networks, and looked at a program to identify the genre of a song with neural networks. Finally, we revised our spam detector from earlier to make it work with neural networks.

In the next chapter, we'll look at deep learning and learn about convolutional neural networks.

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Authors (1)

Dr. Joshua Eckroth

Joshua Eckroth is an Assistant Professor of Computer Science at Stetson University, where he teaches AI, big data mining and analytics, and software engineering. He earned his PhD from The Ohio State University in AI and Cognitive Science. Dr. Eckroth also serves as Chief Architect at i2k Connect, which focuses on transforming documents into structured data using AI and enriched with subject matter expertise. Dr. Eckroth has previously published two video series with Packt, Python Artificial Intelligence Projects for Beginners and Advanced Artificial Intelligence Projects with Python. His academic publications can be found on Google Scholar.

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