An Introduction to Neural Networks 1st Edition by Kevin Gurney (PDF)

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User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This book got me started with neural networks. Prior to this book I had only read some articles and didn’t quite know what was going on. Now I have an application that makes football predictions straight up. It does not go overboard with math but there are certainly some deep sections. Even if you are using someone else’s neural network objects, this is a good read to help you understand the concepts behind NN and what type you want to use.

⭐This is one of the best written books on NN. This book has that rare quality of being succinct but clearly written so that it can be understood by reasonably mathematical minded individual.It covers most of the basic topics (back propagation, feed forward, Hopfield nets etc) and gives idiosyncrasies of the field. It also gives you a simple but accurate understanding of the mathematics and algorithms for the field.I would highly recommend this book to anyone just entering into the field and has some mathematical background.

⭐It is a complete and precise description of ANN.I recommed this book for people looking for a good description in these topics.

⭐Stopped reading after the last part of Chapter 2 on stochastic TLU with time, as the text becomes more and more unintuitive.

⭐Great introduction.

⭐Not deep in math (though there’s enough to get you well started), but beautifully deep in concept. The topics do hit home, which wouldn’t be the case if the author was showing off his/her academic prowess (as is TOO often the case nowadays). An excellent primer for the science/engineering/cognitive student to be introduced to the subject.

⭐An excellent introduction to the subject. The author does a good job of presenting the core ideas in as intuitive a manner as possible without dumbing down the subject. Rigorous math is avoided making this an excellent introductory text for those wishing to grasp the fundamental concepts, and understand the power and practicality of neural networks. I would recommend this book as a companion to Simon Haykin’s Neural Networks: A Comprehensive Foundation.

⭐I’ve been reading this book for a couple of weeks and I am impressed.Very well recommended.Thanks

⭐Note that this is an academic text. I found it to be a useful reference for my job in Engineering

⭐This, well structured book, is the first one that I have read on neural networks.It is extemely well written. As promised, the author takes great care to explain any scary Maths before we have to deal with it. For me, the topic is very complex and it felt like the author ‘held my hand as the plane took off’ (…into the 5th dimension and beyond)!

⭐This book is a great introductory book. It is not very heavy on maths but has explanations of the topic in plain English so will have no problem to grasp the materials.

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