Perceptron: The most simple form of an artificial neural network
The Perceptron was created in 1958 by Rosenblatt, being the most simple form of an artificial neural network, built of one single neural layer and a single neuron. The following image shows how a perceptron works. For inputs, we have a vector of values and a vector of weights. The computation of a single layer perceptron is performed over the calculation of the sum of the input vector each with the value multiplied by the corresponding element of the vector of the weights....