File:Double descent.png
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Summary
| Description |
English: Double descent: modern overparametrized models achieve low generalization error despite being able to interpolate the data. Adapted from Belkin (2021) "Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation." |
| Date | |
| Source | Own work |
| Author | Dkarkada |
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 16:55, 8 May 2023 | | 1,094 × 547 (186 KB) | Dkarkada | changed xaxis label |
| 06:54, 3 May 2023 |  | 776 × 394 (95 KB) | Dkarkada | changed background from transparent to white | |
| 06:49, 3 May 2023 |  | 1,356 × 670 (105 KB) | Dkarkada | Uploaded while editing "Neural tangent kernel" on en.wikipedia.org |
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