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The Applied Artificial Intelligence Workshop

You're reading from  The Applied Artificial Intelligence Workshop

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781800205819
Pages 420 pages
Edition 1st Edition
Languages
Authors (3):
Anthony So Anthony So
Profile icon Anthony So
William So William So
Profile icon William So
Zsolt Nagy Zsolt Nagy
Profile icon Zsolt Nagy
View More author details

Table of Contents (8) Chapters

Preface
1. Introduction to Artificial Intelligence 2. An Introduction to Regression 3. An Introduction to Classification 4. An Introduction to Decision Trees 5. Artificial Intelligence: Clustering 6. Neural Networks and Deep Learning Appendix

Artificial Neurons

Artificial Neural Networks (ANNs), as the name implies, try to replicate how a human brain works, and more specifically how neurons work.

A neuron is a cell in the brain that communicates with other cells via electrical signals. Neurons can respond to stimuli such as sound, light, and touch. They can also trigger actions such as muscle contractions. On average, a human brain contains 10 to 20 billion neurons. That's a pretty huge network, right? This is the reason why humans can achieve so many amazing things. This is also why researchers have tried to emulate how the brain operates and in doing so created ANNs.

ANNs are composed of multiple artificial neurons that connect to each other and form a network. An artificial neuron is simply a processing unit that performs mathematical operations on some inputs (x1, x2, …, xn) and returns the final results (y) to the next unit, as shown here:

Figure 6.1: Representation of an artificial...

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