Machine Learning, Naturallanguageprocessing, Deep Learning, Mathematics.
model and convolutions with self-attention mechanisms. Via the Multi-Head Attention mechanism, this 2017 model facilitates acceleration via parallelism. The Scaled Dot-Product Attention, defined as: where Q is a matrix of input queries, K and V are matrices of input keys and values respectively. σ