Neural Networks · Level 2 of 5
Perceptron
A simple linear threshold classifier with a weighted input sum.
A single perceptron cannot represent every nonlinear decision boundary.
Example
One threshold unit separates points on opposite sides of a line.
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Audio transcript
Perceptron. A simple linear threshold classifier with a weighted input sum. A single perceptron cannot represent every nonlinear decision boundary. For example: One threshold unit separates points on opposite sides of a line.
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Why it matters
This is part of the vocabulary used to read network diagrams and understand parameter updates.
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