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Rating:  Summary: Full insight of the basic concepts. Review: Currently many people know how to 'use' Neural Networks, but very rare who know deeply what is going on behind. This is because they overlook the basic concepts at their first learning of a certain Neural Networks. On the other hand, there are still not many books with the intention to build a firm understanding of the fundamental concepts. Instead of 'begin' with the basic, many books eagerly rammed down your brain with all the 'hoopla' of fast proliferation in Neural Networks community and leave you in preplexity (If you read Haykin's Comprehensive Foundations as your first reading aims at understand the basic, you will soon know what I mean). In such condition, how could you even be able to develop your own simple Neural Networks ? Before you start get in deep with any kinds of Neural Networks widely used today (backpropagation, rbf, Hopfield, Boltzman Machine, probabilistic neural net, etc) you can try this book at first. After knowing the basic mechanism, you could savely learn from some advance books (or papers), and so far I think 'Introduction to Neural Computations by John Hertz et.al.' is still the best though a bit outdate. This book give me a lucid presentation about Neural Networks. After I read this book, I could only give it five stars :-).
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