This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book. The chapter has 7 sections and code for each section can be found at the following links.
10.2. Attention Pooling: Nadaraya-Watson Kernel Regression
10.3. Attention Scoring Functions
10.6. Self-Attention and Positional Encoding
9.7. Sequence to Sequence Learning
9.6. Encoder Decoder Architecture
Chapter 17: Generative Adversarial Networks
The best way (in our opinion) is to either clone the repo (or download the zipped repo) and then run each notebook from the cloned (or extracted) folder. All the notebooks will run without any issue.
Note: We claim no originality for the code. Credit goes to the authors of this excellent book. However, all errors and omissions are my own and readers are encouraged to bring it to my notice. Finally, no TF code was available (to the best of my knowledge) for Attention Mechanisms chapter when this repo was first made public.