Machine Learning, Perceptron, Perceptron Algorithm, Artificial Neural Network, Multilayer Perceptron.
output values are given to the model. D:<x,y> All weight values are defined in a certain way, let’s say random in a range of [-0.5, 0.5] at this point. An output is calculated according to the values and error is calculated to make a comparison. The learning rate (0<𝜇≤1) defines our step size