Over the next few months we will work through an ML course together as a work-group or study-group. The course is fast.ai's "Practical Deep Learning For Coders v3, Part 1": https://course.fast.ai/

Join us for lesson 6:
Lesson 6 - tabular model deep dives using Rossman notebook, dropout, batch normalisation, data augmentation, CNNs in detail, ethics in AI.

Agenda:
18:30 - 19:00 - Social chat, questions on the group/meetup
19:00 - 20:00 Review of technical topics in lesson 6 ~ 30 min and walkthrough CNN notebook ~ 30 min
20:00 - 21:00 PM - open discussion, Q&A

Course Guidelines:

- Practical Deep Learning For Coders v3, Part 1": https://course.fast.ai/
- People are expected to watch the lesson video at home and work on the assignments before the event to be able to fully participate.
- We will space the face to face events 2-3 weeks apart to give people sufficient time to complete the assignments.
- There is a slack channel.

Update 21 April 2020:
We are coming to the end of this course.
The new version of this course (v4) is out in June along with a new release of the fast.ai framework (v2). If you are just joining us, you may want to start on the new version in June or try to catch up with the live stream and current study groups via TWiML (https://twimlai.com/community/).

Some resources for v4 are below:

A book version of the new course: https://github.com/fastai/fastbook

The new framework (v2): https://github.com/fastai/fastai2

A starter notebook to install v2: https://colab.research.google.com/drive/1ao9E-yVfTt5TzTKmnjrVQqi5rphZMYFb