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Answer Posted / Shivshankar Raghuwanshi
The Perceptron is a simple artificial neural network model, mainly used for binary classification problems. There are two types of Perceptrons: Single-Layer Perceptron (SLP) and Multi-Layer Perceptron (MLP). SLP has only one layer of neurons, making it capable of learning linearly separable data sets, while MLP consists of multiple hidden layers, enabling the network to learn complex patterns and handle non-linearly separable data.
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