I knew the very poor Matlab Neural Network Toolbox User's Guide by the same authors and I was kind of expecting the same, and boy was I wrong!This book is simply brilliant, a miracle of pedagogy. It is intended for undergrad classes, but it is so clear that graduate students will benefit enormously from reading it before any other material. Plainly put, this book makes you UNDERSTAND this difficult topic, more than any other...
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I purchased this book while looking for an appropriate textbook for use in my class on neural networks. This book is excellent for both beginners and experts. It is a rare book in that it demonstrates complex mathematical manipulations and principles (that are difficult to grasp and visualize - and explain) using examples. The review on mathematical principles is very useful. The book makes it easier to teach the subject now...
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This book has an easy way the explain the complex of Neural Networks. Begins by a short resume first chapter that allows you understand the concepts and mathematical background of Neural Networks. Then you read chaptter after chapter and get deep and deep on Neural Networks. First you discover that they can clasify objects on diferent classes. After that you are notified that they can predict values based on historical data...
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I have been fortunate to take Dr.Hagan's neural network class and use this book as the text. He is (in my opinion) one of the most understandable authors on this subject (which comes from his vast knowledge of the field). The book makes use of clear examples and informative diagrams. I may have skipped a few classes (sorry Dr. Hagan) but I had no problem at all learning the material from this book. I now write neural net...
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I took a graduate neural networks course with Dr. Hagan who used this book. The book analyzes the contemporary algorithms for neural nets and shows why neural nets work (and don't work). MATLAB examples are on the supplemental disk but they can be coded easily in other languages. The convergence toward a solution is shown using 2D and 3D plots.
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