I'll be using this repository to hosue all of the notes that I take during my time taking the official Fastai courses, and aim to finish all the courses to learn more about Deep Learning, and if it is right for me.
This table will indicate which courses I am currently working on, for easier reference as to what is finished, and what I am still working on. Will update as I go through more courses.
For now I will go through the courses one at a time (there being 5 at the time of writing this), which each having it's own table here as I start working on it.
| Fastai course/chapter name | Status |
|---|---|
| Practical Deep Learning for Coders | In Progress |
| Lesson 1 - Your First Models | In Progress |
| Lesson 2 - Evidence and 'P' Values | Starting Soon |
| Lesson 3 - Production and Deployment | Starting Soon |
| Lesson 4 - SGD from Scratch | Starting Soon |
| Lesson 5 - Data Ethics | Starting Soon |
| Lesson 6 - Collaborative filtering | Starting Soon |
| Lesson 7 - Tabular Data | Starting Soon |
| Lesson 8 - Natural Language Processing | Starting Soon |
| About the Course - Is it right for me? | Done |
Just go into source code, and everything will be sorted into notes for each lesson, and a document with the answer for each lesson. As I also go through all the quizzes on the course, I'll upload those on here as well. Feel free to look through these notes in your own journey through these courses!