File:Architecture d'un Transformeur.png
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Français : La description de l'architecture du Transformeur se compose de plusieurs couches d'apprentissage. Le transformeur se distingue d'autres algorithmes d'apprentissage profond par l'ajout de couches "d'attention multi-têtes" permettant de gérer des données séquentielles sans qu'elles soient nécessairement traitées dans l'ordre, favorisant ainsi une plus grande parallélisation que d'autres algorithmes tels que les RNN. |
| Date | |
| Source | Own work |
| Author | K.W.G. Yipza |
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I, the copyright holder of this work, hereby publish it under the following license:
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 18:24, 31 May 2023 | | 1,600 × 1,440 (380 KB) | K.W.G. Yipza (talk | contribs) | Uploaded own work with UploadWizard |
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