自注意力机制通俗理解
时间: 2023-09-13 12:07:24 浏览: 81
自注意力机制通俗理解即为一种机制,它使得输入之间可以相互交互,并找到应该更加关注的输入。换句话说,自注意力机制能够让每个输入都能够在整个输入序列中寻找到与自己相关的信息,并根据这些信息进行聚合和计算注意力分数。它的作用类似于人类的注意力,可以帮助模型更好地理解和处理输入的信息。通过自注意力机制,模型可以更好地捕捉输入之间的关系和重要程度,从而提高模型的表现和效果。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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