We're back for round 2 of our ML workgroup and we will remain online for the duration of this course!!

Over the next few months we will work through the new version of the fast.ai course, "Practical Deep Learning For Coders v4, Part 1", this time using the latest version of the fast.ai api and the Fastbook.

Lesson 2: Productionise your ML model using fast.ai and Binder! This lesson helps you get up and running with an ML vision model end to end.
We apply our new skills to a Zindi challenge (details below).

Tentative Agenda:
18:30 - 18:45 - Social chat, introduce yourself, questions, etc
18:45 - Overview: Maria & Perusha
18:55 - 02_production notebook - Kalidass Mookkaiah
19:35 - Team Projects: Zindi mask challenge - who has the best score!
- walkthrough a sample Zindi mask notebook - TBD (Volunteers?)
- show your work
- discuss your problems
- share what you are working on - a 5-10 min overview - Volunteers?

Links:
Challenge: https://zindi.africa/competitions/zindiweekendz-learning-spot-the-mask-challenge
Notebook: https://github.com/fastai/fastbook/blob/master/02_production.ipynb

Course Details:

- Practical Deep Learning For Coders v4, Part 1 (using the new version of the API)
- The videos for Course v4 are not yet available however you can watch the Course-v3 videos. This will be enough to get you caught up.
- People are expected to have completed the material in their own time/pace before the event to be able to fully participate.
- We will space the online events 2-3 weeks apart to give people sufficient time to complete the assignments. It is likely that we will remain online until it is safe for everyone to re-emerge!
- There is a slack channel so if you have questions or need help please ask.

Reference slide deck with course material and resources:
https://docs.google.com/presentation/d/1uit7nLmloplxcPEmmjIC8nOaHWG67Eg2dqcYY6byOK0/edit?usp=sharing