| Display title | Rectifier (neural networks) |
| Default sort key | Rectifier (neural networks) |
| Page length (in bytes) | 22,934 |
| Namespace ID | 0 |
| Page ID | 215574 |
| Page content language | en - English |
| Page content model | wikitext |
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| Page creator | imported>CodeMe |
| Date of page creation | 21:32, 28 July 2025 |
| Latest editor | imported>CodeMe |
| Date of latest edit | 21:32, 28 July 2025 |
| Total number of edits | 1 |
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Description | Content |
Article description: (description)
This attribute controls the content of the description and og:description elements. | In the context of artificial neural networks, the rectifier or ReLU (rectified linear unit) activation function is an activation function defined as the non-negative part of its argument, i.e., the ramp function:
$ \operatorname {ReLU} (x)=x^{+}=\max(0,x)={\frac {x+|x|}{2}}={\begin{cases}x&{\text... |
