Transformer Explained
Par un écrivain mystérieux
Last updated 09 juillet 2024
![Transformer Explained](https://production-media.paperswithcode.com/methods/new_ModalNet-21.jpg)
A Transformer is a model architecture that eschews recurrence and instead relies entirely on an attention mechanism to draw global dependencies between input and output. Before Transformers, the dominant sequence transduction models were based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The Transformer also employs an encoder and decoder, but removing recurrence in favor of attention mechanisms allows for significantly more parallelization than methods like RNNs and CNNs.
![Transformer Explained](http://jalammar.github.io/images/t/transformer_resideual_layer_norm.png)
The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.
![Transformer Explained](https://production-media.paperswithcode.com/methods/Screenshot_2020-12-18_at_00.18.33_TvlWs4g.png)
Graph Transformer Explained
![Transformer Explained](https://daleonai.com/images/transformers-explained.png)
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![Transformer Explained](https://www.electricityforum.com/uploads/articles/single-phase-transformer-connections4_1497093998.jpg)
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![Transformer Explained](https://wiki.testguy.net/uploads/default/original/2X/3/3ee33cf60a0a7807cb3659a7c3b3c03f6b631cd7.jpeg)
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![Transformer Explained](https://miro.medium.com/v2/resize:fit:1200/1*lKxMJupvor8t4CaavK7PYQ.png)
Illustrated Guide to Transformers- Step by Step Explanation, by Michael Phi
![Transformer Explained](https://cdn-images-1.medium.com/max/429/1*qJ3Mofg0di1rqQb8zVshkw@2x.jpeg)
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![Transformer Explained](https://deeplobe.ai/wp-content/uploads/2021/04/1.jpg)
Machine learning for Transformers - Explained with language translation /
![Transformer Explained](https://circuitglobe.com/wp-content/uploads/2015/09/transformer-working-diag-compressor.jpg)
Working Principle of a Transformer - Turn & Transformation Ratio - Circuit Globe
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