AI Perceptron.
Perceptron is one of the simplest Artificial neural network architectures. That helps to detect certain input data computations in processing. It was introduced by Frank Rosenblatt in 1957s.
Types of Perceptron
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Single-Layer Perceptron: This type of perceptron is limited to learning linearly separable patterns. effective for tasks where the data can be divided into distinct categories through a straight line.
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Multilayer Perceptron: Multilayer perceptrons possess enhanced processing capabilities as they consist of two or more layers, adept at handling more complex patterns and relationships within the data.