Introduction to Neural Networks for C#, 2nd Edition

Introduction to Neural Networks with C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots. All C# source code is available online for easy downloading.

Customer Reviews:

Excellent book and supporting classes

By Sara Morgan Rea "Artificial Intelligence (AI)... - March 10, 2009

I really like the way this guy has gone about breaking down a very difficult topic and making it easily digestable. He steps you through the basics of neural networks in a way that no programmer could not understand. But the best part of the book is the fact that Jeff offers online courses, in which he talks you through the important aspects of the book. Now, Jeff is not the best speaker in the world, but the fact that he reviews the book really helps to solifidy what you are learning.

I am working through the book and after I have read the chapter, I go back and watch the videos. I feel like I am really getting all this. I have looked at neural network books before, but none of them have explained everything in detail the way this guy is. I highly recommend this book.

Necessary practical review of methods for NNs, needs polishing

By SDB Mike - November 16, 2009

The author provides a needed introductory level book for NNs. I have several theoretical books on my shelf that hit me like a brick wall. Sifting through code with accompanying explanatory information is a luxury for non-theoretical folks like myself. Sadly, physically crunching the numbers (okay, letting code do it) while monitoring code execution is what some of us need to get a mathematical idea to sink in. This book provides that.

That being said, the author writes very mechanically, bordering on robotic. Just a little more writing finesse would greatly improve the readability. The text is still quite readable, though, and the references are available to dig deeper (Neural Smithing, for instance). In addition, for folks interested in the code architecture, this book is sadly lacking. Theoretical and mathematical information is first presented, followed by most of the code, and then code walkthrough. The code walkthrough is somewhat helpful and necessary, but... read more

Amazing book

By Eddie - January 6, 2009

The book explains everything in perfect detail, starting at the most basic level and finishing with advanced techniques. Source code is provided AND Maintained, with libraries open source and public, so you're getting more than what you paid for compared to most other books like this.

I own one other book by Heaton and he does the same there too, so I can safely say that this man understands what software developers are REALLY looking for. My new favorite author.