Perceptron of machine learning

【 brief introduction 】

The most basic component of neural network is neuron model , perceptron （Perceptron） It is a two-layer neural network model composed of two layers of neurons , The input layer receives external input signals and transmits them to the output layer , The output layer is M-P Neuron （ Threshold logical unit ）. perceptron Also belong to Two classification Of Linear classification Model , Its Input For instance Eigenvector , Output For instance Category , Usually take +1 and –1 binary .