Transformers, Deep Learning, Machine Learning, Editors Pick, Data Science.
architectures, residual connections are used to mitigate the vanishing gradient problem and improve training stability. Whilst the transformer architecture has remained fairly constant since its introduction, the positioning of the layer normalisation blocks can vary depending on the transformer