Self-attention (also called self-attention layer): Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

18 March 2023

  • curprev 13:2713:27, 18 March 2023‎ Walle talk contribs‎ 3,686 bytes +3,686‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Self-attention, also known as the self-attention layer, is a mechanism used in machine learning models, particularly in deep learning architectures such as Transformers. It enables the models to weigh and prioritize different input elements based on their relationships and relevance to one another. Self-attention has been widely adopted in various applications, including nat..."
Retrieved from "http:///wiki/Self-attention_(also_called_self-attention_layer)"