The Perceptron was invented in 1958 by Frank Rosenblatt. It is a type of neural network that is inspired by the structure and function of biological neurons. The perceptron takes multiple inputs, weighs each input, and produces a single output based on a threshold function. This function compares the weighted sum of the inputs to a threshold value. The output is 1 if the weighted sum is greater than or equal to the threshold value;…