NLP Tutorials — Part 21: Linformer: Self-attention with Linear Complexity 

Transformer has been a breakthrough architecture which has fared excellently in both NLP and Computer Vision and learning about these kinds of architectures is always beneficial in the long run. I promise a hands-on exercise in our next article wherein we will use various architectures, pick a dataset and observe the performance. For now, let’s get on with Linformer.