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Programming Neural Networks with Encog 3 in C# [Paperback]

Jeff Heaton
4.0 out of 5 stars  See all reviews (1 customer review)
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Book Description

3 Oct 2011 1604390263 978-1604390261
Encog is an advanced Machine Learning Framework for Java, C# and Silverlight. This book focuses on using the neural network capabilities of Encog with the C# programming language. This book begins with an introduction to the kinds of tasks neural networks are suited towards. The reader is shown how to use classification, regression and clustering to gain new insights into data. Neural network architectures such as feedforward, self organizing maps, NEAT, and recurrent neural networks are introduced. This book also covers advanced neural network training techniques such as back propagation, quick propagation, resilient propagation, Levenberg Marquardt, genetic training and simulated annealing. Real world problems such as financial prediction, classifiction and image processing are introduced.

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Product details

  • Paperback: 240 pages
  • Publisher: Heaton Research, Inc. (3 Oct 2011)
  • Language: English
  • ISBN-10: 1604390263
  • ISBN-13: 978-1604390261
  • Product Dimensions: 1.3 x 18.8 x 23.1 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 1,259,685 in Books (See Top 100 in Books)

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Product Description

About the Author

Jeff Heaton is an author, consultant, artificial intelligence (AI) researcher and former college instructor. Heaton has penned more than a dozen books on topics including AI, virtual worlds, spiders and bots. Heaton leads the Encog project, an open source initiative to provide an advanced neural network and bot framework for Java and C#. A Sun Certified Java Programmer and a Senior Member of the IEEE, he holds a Masters Degree in Information Management from Washington University in St. Louis. Heaton lives in St. Louis, Missouri.

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Most Helpful Customer Reviews
4.0 out of 5 stars excellent book on neural nets 17 Aug 2012
Format:Kindle Edition|Verified Purchase
Great book, a very extensive library produced by Jeff Heaton

Only criticism if any is the lack of working examples, if there were more of those it would be perfect!
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Most Helpful Customer Reviews on (beta) 4.0 out of 5 stars  6 reviews
2 of 2 people found the following review helpful
4.0 out of 5 stars Excellent base overview 6 Sep 2012
By Richard - Published on
Format:Kindle Edition|Verified Purchase
Well, if you are a c# programmer (not even necessarly a pro) interested in machine learning, and mostly neural networks, this is for you. The basic topics are well presented, and I liked, how Jeff writes, but I was missing the advanced, deeper parts - even with the exapmles, creating something advanced requires a lot of time and a huge amount of trial and error. If there would be a second part of this book for deeper understanding, I would gladly buy it - this one was all right for its price too.
2 of 2 people found the following review helpful
5.0 out of 5 stars Excelent reference 6 Aug 2012
By harveybc - Published on
Format:Kindle Edition|Verified Purchase
It is very well written and is easily assimilated. The content covers everything from basic experiments in the workbench to using the framework in c#. Very useful for AI integration into projects. Recomended.
1 of 1 people found the following review helpful
4.0 out of 5 stars Repetitive book that covers a brilliant, powerful tool thoroughly, and repeats itself, repeatedly. 4 July 2014
By Ivy - Published on
Format:Kindle Edition|Verified Purchase
Encog3 is a powerful tool for building neural nets in C# and Java very quickly and easily. If you are looking to get into AI, or if you need to use a neural net in your project without the enormous overhead of rolling your own, you will want to get to know Encog. This book is a thorough introduction to the tool. How to set it up. How to use it. How it does, what it does. It's all you need to get started with Encog3.

The only thing I did not like was the obvious hand of a project manager in the editing. You know the type. You write a sentence like "This is the house that Jack built" and they read half a sentence and complain "'That Jack built' isn't a sentence. It should be 'Jack built that.'" Ultimately you end up with, "This is Jack's Jack-built house, built by Jack, who built the house that Jack built."

In this book, that takes the form of:

This section will detail how to structure a neural network for a very simple problem: to design a neural network that can function as an XOR operator. Learning the XOR operator is a frequent "first example" when demonstrating the architecture of a new neural network. Just as most new programming languages are first demonstrated with a program that simply displays "Hello World,"neural networks are frequently demonstrated with the XOR operator. Learning the XOR operator is a sort of the "Hello World" application for neural networks.

It's an unfair structure, because the book is brilliant once you get past the endless repetition, and unnecessary information (they explain the Boolean operators "and" and "or", to an audience sophisticated enough to be using neural nets). The engine itself is revolutionary. The code examples are clear and shockingly concise.
4.0 out of 5 stars Book review 2 May 2014
By Massimo Murazzano - Published on
Format:Paperback|Verified Purchase
The exposition is clear.
All topics are well treated.
I would have preferred, however, that the subjects were treated in more depth, especially for strategies (Greedy, HybridStrategy, StopTrainingStrategy, etc. ..).
Even the Equirateral normalization would require more detailed explanations.
2.0 out of 5 stars "Run these examples" not "here's how to use the library" 23 Feb 2014
By Ben - Published on
Format:Paperback|Verified Purchase
What else can I say - it's actually pretty shallow. There are some basic things that could have been included, however most of the book is merely running pre-made examples. If you want to use encog in your own applications, the book is likely of little help. Really, it's a lot of "run this example by typing in this line of code and look at the output" where it should be "let's build an example from scratch".
The lack of effective teaching gets a 2/5 from me;the book seems to be of little help for those wanting to actually build something.
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