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Neural Networks For Electronics Hobbyists A Nontechnical Projectbased Introduction 1st Edition Richard Mckeon

  • SKU: BELL-50195154
Neural Networks For Electronics Hobbyists A Nontechnical Projectbased Introduction 1st Edition Richard Mckeon
$ 31.00 $ 45.00 (-31%)

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Neural Networks For Electronics Hobbyists A Nontechnical Projectbased Introduction 1st Edition Richard Mckeon instant download after payment.

Publisher: Apress
File Extension: PDF
File size: 5.45 MB
Author: Richard McKeon
ISBN: 9781484235065, 1484235061
Language: English
Year: 2018
Edition: 1

Product desciption

Neural Networks For Electronics Hobbyists A Nontechnical Projectbased Introduction 1st Edition Richard Mckeon by Richard Mckeon 9781484235065, 1484235061 instant download after payment.

Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an elecere 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'ltronics project, providing a hands-on experience in training a network.
 
There are no prerequisites hl 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.

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