Deep Learning with Fastai Part 2 Session #1

Hi everyone,

It's been a while since we had an event and hope you guys are all keeping up with great work!

A few of us wanted to dive deep into part 2 of the wonderful Fastai course (https://course.fast.ai/part2). We want to learn the part 2 course content and get familiarized with the new v2 fastai library. There are also a few Kaggle competitions that we can do together to enhance learning. We thought it'd be great to get more people involved and see how we can learn it together to build great projects.

If you are not familiar with Fastai, please start with here: https://www.fast.ai/ All the courses are open source, and all you need to complete the course is comfortable coding in Python, a basic understanding of high school algebra, and endless curiosity to tinker around :)

If you are a beginner of Python, you may not get much out of this learning series (or the course itself!) but you are welcome to join us anyway just to see what it is about. Someone may be able to point you to where to get started first.

Prerequisite:
Complete the entire part 1 v3 (lesson 1-7), plus the 1st lesson in part 2 (lesson 8) before coming.

Agenda:

1. Discuss any questions you have from the lessons
2. Share any projects that you want to work on together
3. Anything deep learning related :)