Deep Learning, Attention, Transformers, Optical Computing, AI.
attention. The aim of the attention mechanism is to model global interactions between tokens in a sequence. Attention is a sequence to sequence transformation with inputs and outputs represented as matrices. At the first layer in a typical transformer network, raw inputs are converted into matrix