Introduction to Perceptron
Learn what a perceptron is and the types of boundaries it can make.
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What is a perceptron?
Perceptron is a binary linear classifier used in supervised learning to classify the given input data.
Visualize a perceptron
In the case of two input data points, the perceptron model makes a line that separates the two classes.
Boundary
The boundary line that separates the two classes are:
Here:
- and are the inputs
- and are the weights
- is the bias
Prediction
The predicted value on applying the step function is given by:
=
Quiz
A perceptron model draws a line between passed and failed students including the student mark on the two tests. Suppose the equation for the line is: ()

What is the score of the student who got 2 in question 1 and 3 in question 2?
18
23
In the case of three input data points, the perceptron model would separate the two classes using a plane:
Boundary
The plane separating the data points would be:
...