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Mama L [17]
2 years ago
8

We initialize the parameters to all zero values and run the linear perceptron algorithm through these points in a particular ord

er until convergence. The number of mistakes made on each point are shown in the table below. (These points correspond to the data point in the plot above)
Computers and Technology
1 answer:
Usimov [2.4K]2 years ago
7 0

The main aim of running the parameters in the linear perceptron algorithm is to be able to develop a machine learning algorithm for binary classification tasks.

<h3>What is a linear perceptron algorithm?</h3>

This refers to the linear classification algorithm that is used in machine learning.

This is done in order to learn a decision boundary that divides different classes using a hyperplane.

Hence, we can see that your question is incomplete because the parameters are not included, hence a general overview was given to give you a better understanding of the concept.

Read more about machine learning here:

brainly.com/question/25523571

#SPJ1

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