In 1958, American psychologist and computer scientist Frank Rosenblatt published the influential paper "The Perceptron: a Probabilistic Model for Information Storage and Organization in the Brain" in the Cornell Psychological Review. The Perceptron, a fundamental building block in artificial neural networks, is a type of neural network inspired by the structure and function of biological neurons. It processes multiple inputs, assigns weights to each input, and generates a single output based on a threshold function. While single-layer perceptrons have limitations due to their inability to handle non-linearly separable data, they…