Neural Networks: Introduction to Artificial Neurons, Backpropagation and Multilayer Feedforward Neural Networks with Real-World Applications (Advanced Data Analytics)

Editore

Independently published

Data di pubblicazione

2020

Lingua

Inglese

ISBN 13

9798642783528

Rilegatura

Brossura

Condizione

New

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Riassunto

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 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)

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