File:Self Attention Mechanism.png
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Summary
| Description | English: The image illustrates the self-attention mechanism in a Transformer. It shows a central node, like a spotlight, distributing attention to other elements within a multi-layered network. This mechanism allows the model to adaptively focus on various parts of the input data, making Transformers powerful tools in natural language processing and deep learning. |
| Date | 1 January 2017 |
| File source | https://proceedings.neurips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf |
| Author | A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, Ł Kaiser, I Polosukhin |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 01:39, 11 October 2023 | | 627 × 1,054 (17 KB) | AmirhosseinAbaskohi (talk | contribs) | Uploaded a work by A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, Ł Kaiser, I Polosukhin from https://proceedings.neurips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf with UploadWizard |
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