Neural Networks: Introduction to Artificial Neurons, Backpropagation Algorithms and Multilayer Feedforward Networks

Why are software engineers studying the human brain?

Software engineers are not studying the brain for fun, medical research or some form of global engineer's competition. They recognize that computers can process and store much more data than humans, yet even supercomputers can’t carry out tasks that the brain finds very simple, such as facial recognition or natural language processing. MIT’s state-of-the-art research facility, named “Centre for Brains, Minds and Machines”, is a perfect testimonial to this fundamental interaction between the human brain and computers in today’s world.

Hence engineers began studying the processes and structures of our human brains, hoping to build a computer model of its functions – Neural Networks were born. These models are very simplistic, but fundamentally replicate the inner structures of our own brains downright to the funtions of an individual neuron

In this book I show you exactly how engineres model the inner functions and structure of the human brains, covering the fundamental mathematical equations and underlying concepts. In particular, you will learn about...

How to Build a Computer model of a Brain Cell (or Neuron)

The Fundamental properties of a Neural Network

Multilayer Forward Networks

Using the Backpropagation algorithm to learn and adapt

Counter Propagation Networks

How to train a Neural network (validation and testing techniques to avoid overfitting)