Skip to content

Latest commit

 

History

History
38 lines (30 loc) · 2.85 KB

File metadata and controls

38 lines (30 loc) · 2.85 KB

Into Session Notes and Next Steps

Meeting date: 6/4/2018

First, I was great to see you all at Phoenix!

Next steps

Watch lesson 1 video and do homework before next week meetup:

  • Setup environment on crestle/aws/paperspace/gcp/google collab/your computer/...
  • Get comfortable with Jupyter and all other tools
  • Run week1 code and understand it…Play with code to understand it
  • Try different learning rates, epochs while running code
  • Run code on different set of images (download from google images for example) and share results
  • Feel free to explore week2 notebook

Group communication

We will use #datascience channel at Cleveland Tech on Slack. Join Cleveland Tech on Slack with this link then search for #datascience and join the channel. See you there!

Motivation to complete the full course

Online courses platforms completion rates are pretty low. To help keep people accountable, we suggest to collect a deposit from students. You choose the amount. At the end of the program you will get all the money back. If you dropout without completing the program we count the donation as sponsorship for future CAIG meetings.

Setup options

There are many options to run lessons. It will depend on hardware you have, your budget, as it is recommended to use GPU for the course, althoug there is also option to use CPU only.

Be sure to stop the instance when finished using it, otherwise you will pay for it!

Links to resources

Fast.ai Wiki: Lesson 1 Fastai forums is great resource. I encourage you to use fastai forums!

This week in Machine Learning & AI (TWiMLAI) Podcast have online/remote study group similar to ours. They meet online weekly on Saturdays 10am EST.