{
    "id":"eeeb2d01-8315-454e-b33f-3d6caa25db46",
    "title":"Perceptron [Wiki]",
    "authors":["Moeid Heidari","Denis Gorbunov"],
    "category": "Computer Science",
    "topic":"Machine Learning",
    "subTopic":"Perceptron",
    "summary":"Lorem Ipsum is simply dummy text of the printing and typesetting industry...",
    "tags":["tag1","tag2","tag3"],
    "content":"# Perceptron\n In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function which can decide whether or not an input, represented by a vector of numbers, belongs to some specific class.[1] It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector."
}