06/30/2023: Many small changes. I think we’re done?
06/16/2023: One full pass over the text until chapter 11 (including). Fixed several embarrassing mistakes, typos, and grammatical issues.
05/11/2023: Improved introduction. Fixes several bugs in chapter 5 and 12.
12/23/2022: Added index. Various small changes.
08/17/2022: Added Appendix A. Many small changes.
07/28/2022: Added chapter 15 - implementing encoder-decoder methods. Many small changes throughout.
07/20/2022: Fixed typos and grammar in Chapter 13.
07/16/2022: Added chapter 13. Added historical background, references, and summaries to chapters 2 – 11.
07/12/2022: Fixed many typos throughout the book.
07/09/2022: Added summaries to all completed chapters.
07/07/2022: Four new chapters: Chapter 9 - text classification in PyTorch, Chapter 11 - POS tagging using RNNs in PyTorch, Chapter 14 - encoder-decoder methods, and Chapter 16 - neural architectures for NLP applications. Revised intro to match the new chapters.
03/09/2022: Fixed typos and grammar issues in Chapter 7.
03/07/2022: Fixed typos in Chapter 12. Added Chapter 7 with code for FFNNs.
02/18/2022: Completed Chapter 12; added the forward and Viterbi algorithms.
01/21/2022: Fixed several typos in Chapters 4 and 12. Started the CRF section.
01/14/2022: Added Chapter 4 (implementing LR from scratch and in PyTorch) and content to Chapter 12 on RNNs and LSTMs.
10/22/2021: Added Chapter 10 on transformer networks