The Perceptron Algorithm

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A perceptron is the equivalent of a single biological neuron. Its role in a machine is the same as a neuron in the human body: it allows the computer to learn information in order to make its own decisions later on. Computers learn and process information through training. This is what we call “deep-learning”. Multiple perceptrons form a neural network. It’s through these series of algorithms that computers learn in a way that resembles humans.

Frank Rosenblatt is the creator of the first perceptron in 1958. He developed “the first machine which is capable of having an original idea”. Rosenblatt is often referred to as the father of deep-learning.