What is perceptron in machine learning

Question

Can anyone explain the perceptron in Machine Learning?

Answer 1

Perceptron in Machine Learning is an algorithm that is used for supervised learning. It is mostly used in classification, and linear classification to be precise where predictions are made based on a linear predictor function. This is done by using an entity called a feature vector, which is combined with weights to perform the prediction operation. In simple terms, a neural network is a collection of interconnected perceptions. The working is based upon the multiplication operation between the input and the weights used in the processing. The weighted sum is then passed through an activation function to squish the values to be in the binary range of 0 and 1 to eventually provide the output, which is a classifier.

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