Answer / Shiv Mohan Singh

The Perceptron is a simple linear classifier used for binary classification problems. It consists of an input layer, an output layer (single node), and weights that are adjusted during training to learn the boundary between classes. The Perceptron computes the weighted sum of the inputs and applies a threshold function (e.g., step function or sigmoid) to determine the class label.

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