Fast Bunnies Friday Sessions - Chapter 1/2 Discussion

Event Details:

Discussion Agenda:

  • Address any challenges you’re facing in the chapters.
  • Explore alternative approaches for completing the content.
  • Showcase your work related to the chapter to your fellow fast bunnies.

How to Prepare:

  1. Review Chapter 1/2.
  2. Note down any challenges or questions.
  3. Consider alternative approaches to share.
  4. Prepare to showcase your work with fellow fast bunnies.

Previous Homework:

  • Find the way to explicitly mention the training and testing dataset with FastAI API
  • Look into downloading dataset from kaggle, HF & PyTorch (try it if comfortable) in your local machine with python or cmdline

Submissions:

  • Homework: Complete the homework decided in the previous session and attach it here
  • Projects: Submit your projects to this session thread. Let’s celebrate each other’s accomplishments!
  • Questions: Add your questions to this thread.

Fast Bunnies Unite! :rocket::rabbit:

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@Agastya Did I understand correctly, the plan is to discuss the following lessons?

Yes, you can go through those chapter. The title has formatter itself to half…

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Thanks for the info, you made my day.

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Live Coding Beginning

Here is a link to my GitHub repo that I’ll be updating as I go through the course: GitHub - dgwyer/practical-deep-learning-for-coders: Notes made while working through the fast.ai course

Hope it’s useful to others! :slightly_smiling_face:

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