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Concept visual
A
Artificial Neuron.
Neural Network.
Machine Learning.
(1928 â 1971) was an American psychologist notable in the field of Artificial Intelligence. In 1957 he started something really big. He "invented" a Perceptron program, on an IBM 704 computer at Cornell Aeronautical Laboratory. Scientists had discovered that brain cells (
) receive input from our senses by electrical signals. The Neurons, then again, use electrical signals to store information, and to make decisions based on previous input.
Perceptrons could simulate brain principles, with the ability to learn and make decisions.
Perceptron was designed to take a number of binary inputs, and produce one binary output (0 or 1). The idea was to use different weights to represent the importance of each input, and that the sum of the values should be greater than a threshold value before making a decision like yes or no (true or false) (0 or 1).
Imagine a perceptron (in your brain). The perceptron tries to decide if you should go to a concert. Is the artist good? Is the weather good?
= 0 or 1 w1 = 0.7
= 0 or 1 w2 = 0.6
= 0 or 1 w3 = 0.5
= 0 or 1 w4 = 0.3
= 0 or 1 w5 = 0.4