Understanding 99% of Artificial Neural Networks: Introduction & Tricks

There is a deep desire in men in order to reproduce intelligence and place it in a machine. Neural Networks are an attempt to reproduce the synaptic connections of our brain in a computer. Duplicating the way we use our neurons to think in a machine it is expected to have a device that could be able to do ¡°intelligent¡± tasks the ones reserved just to humans some time ago. Neural Network is a reality now not a fantasy and they have been made in order to recognize patterns (a face a photograph or a song are patterns) and forecast trends. I have seen many books about this subject in my life. All of them are hard to read and tedious to learn so I decided to make my own one. For beginner readers I have tried to use a simple language in order to be understood by anyone who wants to know about nets. An easy to read practical and concise work. If you are interested in the brain functions and how can we simulate it in a computer you¡¯ll get here a differenty to penetrate into their secrets. For advanced readers who want to make their own nets I have included a methodology for building neural networks and complete sample computer source-code with tricks that will save you a lot of time while designing it.