Notes - Machine Learning MT23, Perceptrons

Created: October 22, 2023

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• [[Course - Machine Learning MT23]]^U

Flashcards

Describe a perceptron simply.

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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 $0$.

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

Proofs

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