This book introduces the reader to the basic math used for neural network calculation. This book assumes the reader has only knowledge of college algebra and computer programming.

This book is not for professional hackers.Here, hacking techniques that can be easily understood have been described. If you only have a home PC, you can test all the examples provided here.

This book can help those who already have some knowledge of networking and would like to see how the engine of the Internet—that is, the Internet Protocol (IP) and its friends—is implemented on a first-class operating system. However, there is a theoretical introduction for each topic, so newcomers will be able to get up to speed quickly, too. Complex topics are accompanied by enough examples to make them easier to follow.

James Forshaw is a renowned computer security researcher at Google Project Zero, with more than ten years of experience in analyzing and exploiting application network protocols.

This book is an attempt to cover Unity with an approach to touch machine learning and neural networks.