[Day 65] Stanford CS224N (NLP with DL): Multimodal DL and Model analysis and explanation
Hello :) Today is Day 65! A quick summary of today, finalising the last parts of CS224N - NLP with DL by Stanford University Lecture 16 : Multimodal deep learning Lecture 17 : Model analysis and explanation (just watched) Lecture 18 and 19 : Future of NLP and Model Interpretability & Editing First I will share my notes, and then just a quick summary and thoughts on the course. Lecture 16: Multimodal deep learning I got a lot of research papers to read from this lecture. Two are: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale; and Learning Transferable Visual Models From Natural Language Supervision. Lecture 17: Model analysis and explanation Quick summary and thoughts on the course I wrote a lot of notes, and I am glad - writing something down with my hand definitely helps me remember it better. Definitely a very comprehensive course and high quality, and I am glad I decided to commit to doing it. Going back to the start of NLP, through human languages