Fundamentals of Neural Networks: Architectures, Algorithms and Applications

If you're looking to learn about Neural Networks and their Implementation, This is one of the best books you can get your hands on, This book doesn't waste time on explaining every single point in childish ways, instead, it's very conscience and to the point like every textbook should be, everything is clearly explained and graphically plotted where required, it's just Awesome.

Good Book

Its really awesome book for those who want to have expertise in the field.

Not useful for latest trends in machine learning.

Nice book, one has to read to understand the basics of neural network.

Must read book for ANN starters

Good one

Really great for beginners in neural networks

There are many books on neural networks and this one was an early one. Particularly strong on the mathematical analysis if that's what you want. Very useful

I'm really impressed at how Amozon could provide us with books that may never be found available in other real Book Stores. Truly amazing.

Really excellent !

I picked up this book as a slightly more advanced and technical introduction to neural networks than the pure applied programming or highly conceptual books out there. Hence the title "Neural Networks 151" instead of "Neural Networks 101". I was looking for something that provided a detailed, behind-the-scenes look at the theory and structure of neural networks without requiring a PhD in math. This book delivered. While there is a great deal of math, it's actually quite straightforward if you look closely. For the most part, the math is simply a representation of what's contained in the text. Reading the text allowed me to grasp the mathematical equivalent quickly and easily. This is distinct from books which put out 20 equations and only have a few lines of text, leaving you to painfully and slowly work through each equation to figure out what's going on (reaching for other textbooks and lots of coffee along the way). Does it help to have a great deal of mathematical knowledge ? Sure. Is it absolutely necessary ? Not in my opinion. E.g., "delta x" simply means "change in x". If that sounds familiar or straightforward, the book shouldn't be too difficult. I skimmed sections that weren't totally applicable to the problems I was looking at, but it was good to see the knowledge was there in case I needed to return to it later. It seems geared towards an instructional setting, but not at a 301 level. As an intermediate book that solidified my understanding and knowledge of neural networks, it was perfect.

I am new to neural nets and already within day two of reading the book i have been able to program in R, Hebb's rule, perceptrons and ADALIN/MADALIN. It takes you by hand through hands on examples and introduces the concepts and proofs with reasonable math. Just the perfect book for this.