This is a wiki post - feel free to edit to add links from the lesson or other useful info.
- Lesson video - NB: do not share this publicly please!
- Covid-19 video - …this however is public, so feel free to share
- GitHub repo
- Setup help
- The fastai book
- fastai2 repo
- fastbook Chapter 1 questionnaire solutions - feel free to contribute!
- Anki flashcard deck of Chapter 1 questionnaire questions/solutions, Jupyter shortcuts, and related concepts (will be updated weekly-ish to include future chapters’ content)
- [Podcast + Writeup] Summaries + Things Jeremy Says to do + Qs
Links from the lesson
- Imperial college study
- Covid-19 fast.ai forums
- Introducing Pytorch for fast.ai: our 2017 post on why we switched from TensorFlow to PyTorch
- Providing a Good Education in Deep Learning: fast.ai teaching philosophy
- What you need to do deep learning: on what GPUs are and why you (probably) need a cloud service
- Jupyter NoteBook handy ShortCuts
- Jupyter Collapsible Headers and other cool nb-extensions
- Adding Wdgets to you Jupyter notebook: The ipywidgets library, and specifically FileUpload
- Fastai: A Layered API for Deep Learning paper: Information Journal or arxiv or fast.ai
Making Masks and Hygiene Tips
How to make reusable masks and WHO hand sanitizer recipes - contact @Moody or add comments in (Masks for covid-19)
Please use this topic to ask any question about the course (even if you think they are stupid, we really love stupid questions). Note that this is the beginners topic, so if you have already followed the course and your question/intervention is more advanced, please use the non-beginner discussion topic.
Questions with lots of likes will be asked live by Rachel. If you see a question you’d really like to be answered, click on the heart under it to like it. Don’t post duplicate questions if possible. They will be removed by the moderators (don’t be mad if this happens to you, it’s nothing personal). If your question is not answered during the course, it will be answered on this topic, either tonight or tomorrow.
This topic will be very crowded, so please refrain from getting too much off track (create another topic for this) and please like the post of someone who replied to you instead of replying with thank you.