Notes - Machine Learning MT23, Perceptrons


Flashcards

Describe a perceptron simply.


Take a weighted sum of input variables, and if it exceeds a threshold, output true or false.

Given weights $w _ 0, \ldots, w _ n$, define a perceptron as a function $f(\pmb x)$ that returns $1$ or $0$.


\[f(\pmb x) = \text{sign}(w_0 + w_1 x_1 + \cdots + w_nx_n)\]

Proofs




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