Название: Neural Networks: Introduction to Artificial Neurons, Backpropagation and Multilayer Feedforward Neural Networks with Real-World Applications (Advanced Data Analytics Book 2)
Автор: Morgan Maynard
Издательство: Independently published
Год: 2017
Дата выхода на Amazon: May 18, 2020
Язык: английский
Формат: pdf, azw3
Размер: 10.1 MB

Do You Know Why Software Engineers Study the Human Brain?

Software Engineers recognize that computers can process and store much more data than humans, yet even supercomputers can’t carry out tasks that come easily to the human brain, 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 functions 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 аbout:

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)

Contents:
Chapter 1 – Introduction
Chapter 2 – About the Series
Chapter 3 – A Brief Overview
Chapter 4 – From Deep Blue to AlphaGo
Chapter 5 – The process of Learning
Chapter 6 – Biological inspiration
Chapter 7 – The Neuron
Chapter 8 – Perceptron
Chapter 9 – Multilayer Feedforward Networks
Chapter 10 – Backpropagation
Chapter 11 – Alternative Architectures
Chapter 12 – Deeper Look at Training
Bonus Chapter – Foundations of Markov Models (Extract from Book 3 of the Series)
Conclusion