File:Wide neural networks are described by a Gaussian process svg.svg
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Summary
| Description |
English: When parameters
{\displaystyle \theta } of an infinite width network are sampled repeatedly from their prior {\displaystyle p(\theta )} , the resulting distribution over network outputs is described by a Gaussian process. |
| Date | |
| Source | Own work |
| Author | NovakRoman |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 23:49, 24 April 2020 | | 450 × 225 (158 KB) | NovakRoman | Cross-wiki upload from en.wikipedia.org |
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