Transformer Architecture

A type of deep learning model that learns context and meaning by tracking relationships in sequential data, such as words in a sentence or frames in a video.

Transformer Architecture

Areas of application

  • Natural Language Processing (NLP)
  • Speech Recognition
  • Machine Learning

Example

The Transformer model is commonly used in natural language processing (NLP) tasks, such as machine translation and text summarization

Resources