Transformers, Deep Learning, Machine Learning, Editors Pick, Data Science.
the transformer to attend to different parts of the input sequence simultaneously– this is known as multi-head attention. The idea behind multi-head attention is quite simple, the outputs of multiple independent self-attention blocks are concatenated together, and then passed through a linear