Perceptrons
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About this book
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. 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.
Reader Profile
4.0/5 · 60 readers · 283 pages · ≈ 5 h 14 m · Moderate
How long does it take to read Perceptrons?
About ≈ 5 h 14 m — 283 pages, assuming roughly 250 words per page at 225 words per minute.
How many pages is Perceptrons?
283 pages in its most-read edition.
Is Perceptrons in the public domain?
No — it is still under copyright.
Who wrote Perceptrons?
Marvin Minsky.