Towards Data Science, Deep Learning, Machine Learning, Neural Networks, Naturallanguageprocessing.
queries and is then normalized, we get the weights. These weights are then multiplied by the values, and summed up, to get the final attention vector. This block can now be used in a neural network and is known as the Attention block. Multiple such attention blocks can be added to provide more