Glossary
Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.
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- Transformer(also: Transformer Model, Transformer Architecture)
- A deep learning architecture introduced by Vaswani et al. in 2017 that relies entirely on attention mechanisms rather than recurrence (RNNs) or convolution for sequence modeling tasks. Transformers process entire input sequences in parallel using "self-attention" to weigh the…
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