What is Attention in Deep Learning?
Attention in
Deep Learning refers to a mechanism that allows
neural networks to focus on relevant parts of the input or sequence when making predictions or decisions.
Attention mechanisms enable models to selectively process important information and have been successful in tasks such as machine translation and image captioning.
