The Concept of Artificial Neurons (Perceptrons) in Neural Networks

Neural Networks and Deep Learning Course: Part 1

Rukshan Pramoditha
Towards Data Science

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Image (at left) by Clker-Free-Vector-Images from Pixabay and image (at right) by author, made with draw.io

Today, we officially begin our Neural Networks and Deep Learning Course as introduced here. We’ll begin with a solid introduction to the concept of artificial neurons (perceptrons) in neural networks.

Artificial neurons (also called Perceptrons, Units or Nodes) are the simplest elements or building blocks in a neural network. They are inspired by biological neurons that are found in the human brain.

In this article, we’ll discuss how perceptrons are inspired by biological neurons, draw the structure of a perceptron, discuss the two mathematical functions inside a perceptron and finally, we’ll perform some calculations inside a perceptron.

How are perceptrons inspired by biological neurons?

It is worth discussing how artificial neurons (perceptrons) are inspired by biological neurons. You can consider an artificial neuron as a mathematical model inspired by a biological neuron.

Image (at left) by Clker-Free-Vector-Images from Pixabay and image (at right) by author, made with draw.io
  • A biological neuron receives its input signals…

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