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Perceptron Learning How it works Receives inputs: The perceptron takes multiple input values, which can be numerical data points or features. Applies weights: Each input is multiplied by a corresponding weight, which represents the importance of that input. Calculates a weighted sum: All the weighted inputs are added together, often with a bias ...
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