# Notes - Machine Learning MT23, Perceptrons

> Source: https://ollybritton.com/notes/uni/part-a/mt23/machine-learning/notes/perceptrons/ · Updated: 2025-10-21 · Tags: uni, notes

- [Course - Machine Learning MT23](https://ollybritton.com/notes/uni/part-a/mt23/machine-learning/)

### 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 $0$.::
$$
f(\pmb x) = \mathrm{sign}(w_0 + w_1 x_1 + \cdots + w_nx_n)
$$

### Proofs

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Olly Britton — https://ollybritton.com. Machine-readable index: https://ollybritton.com/llms.txt