[Animation explains the principles of artificial intelligence in detail] What is the working process of the attention mechanism in the Transformer model? A detailed explanation of the mechanism example video animation of a Seq2seq model with attention
Article directory
- [Animation explains the principles of artificial intelligence in detail] What is the working process of the attention mechanism in the Transformer model? A detailed explanation of the mechanism example video animation of a Seq2seq model with attention
- Introduction to Seq2Seq sequence-to-sequence model
- Learn more about the principles
- Introduction to Seq2Seq (sequence to sequence) model
- Encoder
- decoder
- The specific calculation process of the model
- The complete working process of the attention mechanism
- References
Introduction to Seq2Seq sequence-to-sequence model
Seq2seq sequence-to-sequence models are deep learning models that have achieved much success in tasks such as machine translation, text summarization, and image captioning. Google Translate started using such models in production in late 2016. Two seminal papers (Sutskever et al., 2014, Cho et al., 2014) explain these models.
However, I have found that fully understanding the model in order to implement it requires articulating a series of overlapping concepts. I think some of these ideas would be easier to understand if expressed visually. This is my goal in this article. You need some familiarity with deep learning to read this article.