Attention Mechanisms

An attention mechanism is a component of a machine learning model that allows the model to weigh different parts of the input differently when making predictions.

Attention Mechanisms

Areas of application

  • Natural Language Processing
  • Neural Machine Translation
  • Image Recognition
  • Speech Recognition
  • Deep Learning Models
  • Healthcare and Medical Imaging
  • Computer Vision
  • Autonomous Vehicles

Example

In natural language processing, an attention mechanism can be used to focus on specific words or phrases in a sentence and give them higher importance when predicting the meaning of the sentence.