dense attention
时间: 2023-09-21 19:05:40 浏览: 42
Dense attention is a type of attention mechanism used in neural networks, particularly in natural language processing (NLP) tasks. In a traditional attention mechanism, the input sequence is transformed into a set of attention vectors, which are then used to compute a weighted sum of the input sequence elements. In contrast, dense attention uses a feedforward neural network to compute the attention weights directly from the input sequence. This allows for non-linear relationships between the input and attention weights, and can improve the performance of the attention mechanism. Dense attention has been used successfully in a variety of NLP tasks, including machine translation and language modeling.