Part2 before Part1 again?

Recorded versions of the previous meetups can be found on the #fast_ai_dl channel of the TWiML Slack group. I’ve also shared annotated versions of the course notebooks 02_initialization and 03_minibatch. I’d focus on reading and running and understanding these notebooks rather than the recorded meetups.

To catch up:

  1. Set up (either locally or on the cloud) your infrastructure with the capability to run the course notebooks. To run on Google Colab, use the Jupyter notebook I shared above.
  2. Listen to Jeremy’s Lesson 8 and Lesson 9 lectures
  3. Review run, and play with course notebooks 00, 01, 02, and 03. I will review notebooks 04_callbacks.ipynb and 05_anneal.ipynb this Saturday, 8/10/2019.

Don’t worry if you can’t accomplish all of this by Saturday; I know it’s a lot. Just do as much as you can. You’ll get there. See you Saturday!

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