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A Perceptron is an artificial neuron inspired by biological neurons, serving as a fundamental component of neural networks and primarily used for binary classification with linearly separable data. It consists of an input layer, weights, bias, an activation function, and produces a binary output. There are two types of Perceptrons: Single-Layer Perceptrons, which are simple and fast but limited to linear problems, and Multi-Layer Perceptrons (MLPs), which can model complex non-linear relationships and are w

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