Overview
- Learn through a hardware-based approach to neural networks versus implementing a network in software
- No technical background or programming skills are required
- The in-book project is made from inexpensive, readily available parts
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Table of contents (7 chapters)
Keywords
About this book
There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network.
By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you.
What You'll Learn
- Gain a practical introduction to neural networks
- Review techniques for training networks with electrical hardware and supervised learning
- Understand how parallel processing differs from standard sequential programming
Who This Book Is For
Anyone interest in neural networks, from electronic hobbyists looking for an interesting project to build, to a layperson with no experience. Programmers familiar with neural networks but have only implemented them using computer code will also benefit from this book.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Neural Networks for Electronics Hobbyists
Book Subtitle: A Non-Technical Project-Based Introduction
Authors: Richard McKeon
DOI: https://doi.org/10.1007/978-1-4842-3507-2
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Richard McKeon 2018
Softcover ISBN: 978-1-4842-3506-5Published: 11 April 2018
eBook ISBN: 978-1-4842-3507-2Published: 10 April 2018
Edition Number: 1
Number of Pages: XIV, 139
Number of Illustrations: 73 b/w illustrations
Topics: Hardware and Maker, Artificial Intelligence, Computer Communication Networks