What Is Perceptron Algorithm?
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Perceptron algorithm is a type of artificial neural network that is used for supervised learning. It is a linear classifier and can be used to solve problems such as pattern recognition and binary classification. The algorithm works by adjusting weights through a network of neurons and applying an activation function to the inputs, which are then outputted in either a 0 or 1 result. The weights are adjusted until the highest accuracy is achieved.