11 lines
821 B
JSON
11 lines
821 B
JSON
{
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"id":"eeeb2d01-8315-454e-b33f-3d6caa25db46",
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"title":"Perceptron [Wiki]",
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"authors":["Moeid Heidari","Denis Gorbunov"],
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"category": "Computer Science",
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"topic":"Machine Learning",
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"subTopic":"Perceptron",
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"summary":"Lorem Ipsum is simply dummy text of the printing and typesetting industry...",
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"tags":["tag1","tag2","tag3"],
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"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."
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} |