Introduction to Fastai 2022 Lesson 1 Part 1 and 2

course website: https://hafizahmadhassan.github.io/mynbdev_cards/

Here is a description of the introduction to fastai

Videos

Highlights

1. Remaking Fastai Course Practical Deep Learning 2022
2. Lesson 1 Smaller Version — This one is Part 1 of lesson
3. Link for the notebook and notes are provided in google drive (link no. 1 in Resource Section also in description)

Outline

1. Welcome
2. XKCD
3. Classifier: Is it a Bird?
4. First Look at the Code
5. Image Analysis
6. PixSpy
7. Downloading Forest and Bird Picture
8. Verifying Images
9. Datablock
10. Run the Model
11. Evaluation Model
12. Dalle -2
13. Images Generated by Man with Dalle
14. Other Examples of Dalle
15. Fast.ai Alumni Contribution on Dalle Model
16. Pathway Language Model By Google
17. Model Explaining Joke
18. Why Study Practical Data Ethics?
19. Study of Educational System
20. Make a Choice System?
21. Teacher Version of Making Choice System?
22. Shout out to Radek
23. Educational philosophy of this Course
24. Book By Jeremy: Deep Learning For Coders
25. Reviews about Book
26. About Author Jeremy
27. Authors First Company
28. Start of Fast.ai

Resources

1. https://drive.google.com/drive/folders/15ODbJIV4dGzHLTusXKjoy5mjNJq8FtQo?usp=share_link
2. https://course.fast.ai/Lessons/lesson1.html
3. https://github.com/fastai/fastbook
4. https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527
5. https://pixspy.com/
6. https://openai.com/dall-e-2/
7. https://ethics.fast.ai/
8. https://cups.fast.ai/
9. https://course17.fast.ai/
10. https://paperswithcode.com/method/ulmfit
11. https://www.kaggle.com/ahmadhassan061/lesson1