Answer / Hom Singh

A Perceptron is a simple type of artificial neural network that can perform binary classification. It consists of an input layer, a single processing node or neuron, and an output layer. The neuron computes the weighted sum of its inputs and applies the activation function (usually a step function) to produce an output. If the weighted sum exceeds a threshold, the neuron outputs 1; otherwise, it outputs 0. Perceptrons are used as building blocks for more complex neural networks such as multi-layer perceptrons.

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