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Fundamentals of Neural Networks: Architectures, Algorithms And Applications Review by Olivier Langlois
The best book to get introduced to Neural Networks
This is the book I used in my AI class. I have found it very well written and interesting to read and go through the very first neural networks models such as the Hebb net, the perceptron and the Adaline. Then the book continues by presenting simple neural network applications like pattern association.
I remember that our professor did ask the class to do one of the proposed projects in the pattern association chapter which consisted of implementing a small OCR with a neural network and this exercise did really help to better assimilate the principles. Finally, the following chapters present other types of neural networks such as those based on competition and the very important backpropagation neural network.
The only thing that you can complain about is its high price tag. For anyone interested in the AI field, it is recommended.